SQL Jobs in Egypt

<p>&nbsp;We're looking for a Senior Product Analyst who can help make data a genuine part of how Product operates. This isn't a role where you'll wait for a Product Manager to ask for a dashboard or pull a report after a decision has already been made. You'll be expected to get close to the product, understand how customers actually use it, spot patterns others may have missed, and bring insights to the table before someone asks for them. You'll operate at two levels. At the product and feature level , you'll help teams understand whether customers are discovering, adopting, engaging with, and getting value from what we're building. You'll identify friction, investigate unexpected behaviour, evaluate experiments, and help teams decide what to improve, scale, reposition, or stop. At the leadership level , you'll connect those individual product signals to the bigger picture - helping leadership understand product performance, emerging opportunities, risks, and where we should invest next. The strongest person in this role will be able to move comfortably between a SQL query, a conversation with a Product Manager, and a leadership presentation - and translate the same data into something meaningful for each audience. What You'll Do Turn product data into decisions. You'll go beyond reporting what happened to understand why it happened, what it means, and what Product should do differently as a result. Help teams define what success actually means. You'll work with Product Managers and other stakeholders to establish meaningful KPIs, success metrics, and measurement plans before features and initiatives are launched. Understand how customers use our products. You'll analyse journeys, funnels, cohorts, adoption, engagement, retention, churn, and behavioural patterns to identify where customers are succeeding and where they're getting stuck. Evaluate whether our products are delivering value. You'll assess feature performance and help teams make evidence-based decisions about whether to improve, scale, reposition, or discontinue initiatives. Bring insights into product discovery. You'll use quantitative evidence alongside customer, product, and market context to help teams understand which problems are worth solving and where the biggest opportunities exist. Challenge assumptions with evidence. When a team believes a feature is working, adoption is strong, or customers are behaving a certain way, you'll be comfortable asking, What does the data actually tell us? constructively and without creating friction. Identify opportunities before you're asked. You won't wait for a stakeholder to request a report. You'll proactively investigate anomalies, emerging trends, underperforming areas, and changes in customer behaviour and bring forward the ones that matter. Support experimentation. You'll help teams define hypotheses, success criteria, and measurement approaches, then analyse experiments and A/B tests to determine what the evidence tells us. Make complex analysis easy to understand. You'll turn large datasets and complicated analysis into clear stories, visualisations, recommendations, and decisions that make sense to both technical and non-technical audiences. Give leadership a clear view of product performance. You'll create reporting that connects detailed product and feature performance to broader business objectives, highlighting progress, drivers, risks, and recommended actions rather than simply presenting numbers. Help Product become more self-sufficient with data. You'll build repeatable analytical frameworks, dashboards, documentation, and self-service resources so teams don't need to come to you for every question. Raise data literacy across Product. You'll coach Product Managers on metrics, analysis, and interpretation, and use workshops, office hours, and day-to-day collaboration to make better use of data part of how the team works. Build trust across teams. You'll work closely with Product, Design, Engineering, and business stakeholders and influence decisions without relying on formal authority. What Success Looks Like In your first 3-6 months, you'll be building trust. Product teams know you as someone who understands the product, asks the right questions, and brings useful insights rather than simply producing reports. As you establish yourself, you'll start changing how decisions are made. Product Managers are defining meaningful success metrics earlier, teams are using evidence to evaluate their decisions, and you're proactively surfacing opportunities and risks rather than responding to reporting requests. Ultimately, success means Product becomes more intelligent. Leadership has a clear view of what's driving product performance, teams understand why customers behave the way they do, and decisions about priorities and investment are increasingly based on evidence rather than assumptions. The shift we're looking for is simple: From What happened? Why did it happen? What should we do about it? Who You Are You're naturally curious. When you see an unexpected number, you don't just add it to a report you want to know what's behind it. You think commercially, not just analytically. You understand that an interesting insight isn't necessarily a useful one. You can connect product behaviour to customer value, business performance, and investment decisions. You don't need to be given the question. You're comfortable starting with an ambiguous problem, figuring out what needs to be understood, and determining what analysis will actually help answer it. You can zoom in and out. You can spend time investigating why a particular feature's adoption dropped while still understanding how that finding connects to the wider product strategy. You're willing to challenge people. You don't simply validate what a stakeholder already believes. You're comfortable presenting evidence that contradicts an assumption, while doing so in a way that builds trust rather than defensiveness. You know that being right isn't enough.</p><p><strong>Desired Candidate Profile</strong></p><p>You're naturally curious. When you see an unexpected number, you don't just add it to a report you want to know what's behind it. You think commercially, not just analytically. You understand that an interesting insight isn't necessarily a useful one. You can connect product behaviour to customer value, business performance, and investment decisions. You don't need to be given the question. You're comfortable starting with an ambiguous problem, figuring out what needs to be understood, and determining what analysis will actually help answer it. You can zoom in and out. You can spend time investigating why a particular feature's adoption dropped while still understanding how that finding connects to the wider product strategy. You're willing to challenge people. You don't simply validate what a stakeholder already believes. You're comfortable presenting evidence that contradicts an assumption, while doing so in a way that builds trust rather than defensiveness. You know that being right isn't enough. Your analysis only creates value if people understand it and act on it. You can turn complex findings into a simple story and a clear recommendation. You're a strong communicator. You can explain an analytical finding to a Product Manager, work through the technical detail with an Engineer, and present the business implication to leadership. You're proactive and self-directed. You don't wait for a ticket to appear in your queue. You notice something worth investigating and take ownership of finding out what it means. You're comfortable with ambiguity and a changing environment. Not every question will have a clean dataset or obvious answer. You know how to work with imperfect information while being transparent about its limitations. You have 4+ years of experience in product analytics, digital analytics, business intelligence, or a closely related field, with experience working directly with digital Product teams. You're technically strong. You can independently use SQL to explore and analyse large datasets and are comfortable working with product analytics or business intelligence platforms such as Mixpanel, Heap, Pendo, Metabase, Amplitude, Looker, Tableau, Power BI, or similar tools. You understand product metrics deeply , including funnels, journeys, cohorts, retention, engagement, adoption, churn, and customer behaviour. You can translate ambiguous business questions into structured analysis and understand the difference between finding a correlation and understanding what it actually means. You're comfortable working remotely and can communicate effectively across teams without relying on being in the same room. You have professional working proficiency in English. Nice to Have Experience designing or evaluating A/B tests and experiments. Experience with statistical analysis. Familiarity with modern data stacks, data warehouses, transformation tools, event tracking, analytics instrumentation, or data governance. Experience building or improving a product analytics function or data culture. Experience presenting product recommendations to senior leadership. Working knowledge of Python or R. Experience working with B2B SaaS, enterprise products, AI products, or complex data-driven platforms.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Lucidya Lucidya is an AI-native platform for customer experience (CX) intelligence that helps organizations understand their customers and take action across the entire customer lifecycle.<br> Our platform brings together products including Social Listening, OmniServe, Survey, and AI Agent, helping enterprise organizations across the region turn customer data into better experiences and measurable business outcomes.<br> As we continue to scale our products, customers, and AI capabilities, the amount of data we generate is growing rapidly.<br> The opportunity is no longer simply to report on what happened - it's to understand why it happened, what it means, and what we should do next.<br> Why this role matters We're looking for a Senior Product Analyst who can help make data a genuine part of how Product operates.<br> This isn't a role where you'll wait for a Product Manager to ask for a dashboard or pull a report after a decision has already been made.<br> You'll be expected to get close to the product, understand how customers actually use it, spot patterns others may have missed, and bring insights to the table before someone asks for them.<br> You'll operate at two levels.<br> At the product and feature level , you'll help teams understand whether customers are discovering, adopting, engaging with, and getting value from what we're building.<br> You'll identify friction, investigate unexpected behaviour, evaluate experiments, and help teams decide what to improve, scale, reposition, or stop.<br> At the leadership level , you'll connect those individual product signals to the bigger picture - helping leadership understand product performance, emerging opportunities, risks, and where we should invest next.<br> The strongest person in this role will be able to move comfortably between a SQL query, a conversation with a Product Manager, and a leadership presentation - and translate the same data into something meaningful for each audience.<br> What You'll Do Turn product data into decisions.<br> You'll go beyond reporting what happened to understand why it happened, what it means, and what Product should do differently as a result.<br> Help teams define what success actually means.<br> You'll work with Product Managers and other stakeholders to establish meaningful KPIs, success metrics, and measurement plans before features and initiatives are launched.<br> Understand how customers use our products.<br> You'll analyse journeys, funnels, cohorts, adoption, engagement, retention, churn, and behavioural patterns to identify where customers are succeeding and where they're getting stuck.<br> Evaluate whether our products are delivering value.<br> You'll assess feature performance and help teams make evidence-based decisions about whether to improve, scale, reposition, or discontinue initiatives.<br> Bring insights into product discovery.<br> You'll use quantitative evidence alongside customer, product, and market context to help teams understand which problems are worth solving and where the biggest opportunities exist.<br> Challenge assumptions with evidence.<br> When a team believes a feature is working, adoption is strong, or customers are behaving a certain way, you'll be comfortable asking, “What does the data actually tell us?<br>” — constructively and without creating friction.<br> Identify opportunities before you're asked.<br> You won't wait for a stakeholder to request a report.<br> You'll proactively investigate anomalies, emerging trends, underperforming areas, and changes in customer behaviour and bring forward the ones that matter.<br> Support experimentation.<br> You'll help teams define hypotheses, success criteria, and measurement approaches, then analyse experiments and A/B tests to determine what the evidence tells us.<br> Make complex analysis easy to understand.<br> You'll turn large datasets and complicated analysis into clear stories, visualisations, recommendations, and decisions that make sense to both technical and non-technical audiences.<br> Give leadership a clear view of product performance.<br> You'll create reporting that connects detailed product and feature performance to broader business objectives, highlighting progress, drivers, risks, and recommended actions rather than simply presenting numbers.<br> Help Product become more self-sufficient with data.<br> You'll build repeatable analytical frameworks, dashboards, documentation, and self-service resources so teams don't need to come to you for every question.<br> Raise data literacy across Product.<br> You'll coach Product Managers on metrics, analysis, and interpretation, and use workshops, office hours, and day-to-day collaboration to make better use of data part of how the team works.<br> Build trust across teams.<br> You'll work closely with Product, Design, Engineering, and business stakeholders and influence decisions without relying on formal authority.<br> What Success Looks Like In your first 3-6 months, you'll be building trust.<br> Product teams know you as someone who understands the product, asks the right questions, and brings useful insights rather than simply producing reports.<br> As you establish yourself, you'll start changing how decisions are made.<br> Product Managers are defining meaningful success metrics earlier, teams are using evidence to evaluate their decisions, and you're proactively surfacing opportunities and risks rather than responding to reporting requests.<br> Ultimately, success means Product becomes more intelligent.<br> Leadership has a clear view of what's driving product performance, teams understand why customers behave the way they do, and decisions about priorities and investment are increasingly based on evidence rather than assumptions.<br> The shift we're looking for is simple: From “What happened?<br>” → “Why did it happen?<br>” → “What should we do about it?<br>" Who You Are You're naturally curious.<br> When you see an unexpected number, you don't just add it to a report — you want to know what's behind it.<br> You think commercially, not just analytically.<br> You understand that an interesting insight isn't necessarily a useful one.<br> You can connect product behaviour to customer value, business performance, and investment decisions.<br> You don't need to be given the question.<br> You're comfortable starting with an ambiguous problem, figuring out what needs to be understood, and determining what analysis will actually help answer it.<br> You can zoom in and out.<br> You can spend time investigating why a particular feature's adoption dropped while still understanding how that finding connects to the wider product strategy.<br> You're willing to challenge people.<br> You don't simply validate what a stakeholder already believes.<br> You're comfortable presenting evidence that contradicts an assumption, while doing so in a way that builds trust rather than defensiveness.<br> You know that being right isn't enough.<br> Your analysis only creates value if people understand it and act on it.<br> You can turn complex findings into a simple story and a clear recommendation.<br> You're a strong communicator.<br> You can explain an analytical finding to a Product Manager, work through the technical detail with an Engineer, and present the business implication to leadership.<br> You're proactive and self-directed.<br> You don't wait for a ticket to appear in your queue.<br> You notice something worth investigating and take ownership of finding out what it means.<br> You're comfortable with ambiguity and a changing environment.<br> Not every question will have a clean dataset or obvious answer.<br> You know how to work with imperfect information while being transparent about its limitations.<br> You have 4+ years of experience in product analytics, digital analytics, business intelligence, or a closely related field, with experience working directly with digital Product teams.<br> You're technically strong.<br> You can independently use SQL to explore and analyse large datasets and are comfortable working with product analytics or business intelligence platforms such as Mixpanel, Heap, Pendo, Metabase, Amplitude, Looker, Tableau, Power BI, or similar tools.<br> You understand product metrics deeply , including funnels, journeys, cohorts, retention, engagement, adoption, churn, and customer behaviour.<br> You can translate ambiguous business questions into structured analysis and understand the difference between finding a correlation and understanding what it actually means.<br> You're comfortable working remotely and can communicate effectively across teams without relying on being in the same room.<br> You have professional working proficiency in English.<br> Nice to Have Experience designing or evaluating A/B tests and experiments.<br> Experience with statistical analysis.<br> Familiarity with modern data stacks, data warehouses, transformation tools, event tracking, analytics instrumentation, or data governance.<br> Experience building or improving a product analytics function or data culture.<br> Experience presenting product recommendations to senior leadership.<br> Working knowledge of Python or R.<br> Experience working with B2B SaaS, enterprise products, AI products, or complex data-driven platforms.<br> What the hiring process will look like Recruiter screening — An initial conversation about your experience, motivations, and what you're looking for next.<br> Analytics interview — A deeper discussion around your product analytics experience, technical capability, and how you approach ambiguous analytical problems.<br> Case study / analytical exercise — You'll be given a product or business problem and asked to analyse the available information, identify the key insights, and explain what you would recommend.<br> Presentation Interview — You'll meet Product and/or business stakeholders to explore how you communicate insights, challenge assumptions, and influence decisions based on the case study.<br> Leadership / culture interview — A final conversation focused on how you operate, collaborate, handle ambiguity, and contribute to a high-performing team.<br></span> </div>

Senior Software Engineer<br><br>Location: Remote (Within +/- 2 hours of CET)<br>Contract Type: Full-time<br>Not Your Typical Workplace...<br><br>Tired of the 9-to-5 grind? Imagine a world without borders, where opportunities are endless. That's the future of work, and what we're building at Work Motion. Our remote-first team spans the globe, helping companies hire, onboard, and manage talent internationally through smart, flexible workforce solutions. Fast-paced, people-driven, and globally connected, we empower businesses to build teams without borders.<br>More Than a Role<br><br>We don't just need another Senior Software Engineer—we're looking for a builder who enjoys solving complex engineering challenges and delivering scalable, high-quality software that creates real business impact. You'll play a key role in shaping and building the technology powering our Talent Operations platform, working on backend services while contributing to frontend development when needed. You'll influence technical decisions, contribute to system architecture, and collaborate closely with Product, Engineering, and cross-functional stakeholders to deliver reliable, scalable solutions that support our global business. We're looking for engineers who embrace modern software development practices and actively leverage AI-powered development tools such as Cursor and Claude Code to improve productivity and code quality.<br>Where Responsibility Meets Real Opportunity...<br><br>Design, develop, and maintain scalable backend services while contributing to frontend features where required. Build high-quality, well-tested software following modern engineering and Dev Ops best practices. Contribute to architecture, system design, and technical decision-making across the platform. Collaborate closely with Product Managers, Designers, and Engineers to deliver impactful solutions. Review code, mentor teammates, and continuously improve engineering standards. Troubleshoot production issues and continuously enhance system performance, reliability, and scalability.<br>What It Takes to Make an Impact Here...<br><br>5-6+ years of professional software engineering experience with a strong backend focus and frontend exposure. Strong hands-on experience with Java, Spring Boot, React, Microservices, REST APIs, Postgre SQL, Mongo DB, and AWS. Experience designing scalable systems and distributed architectures. Daily experience using AI coding tools such as Cursor and Claude Code. Strong understanding of Test-Driven Development (TDD), software engineering best practices, and clean code principles. Excellent English communication skills, both written and spoken.<br>Bonus Points If You Bring...<br><br>Experience with Docker and Kubernetes. Experience working in Agile environments (Scrum or Kanban). Experience building highly scalable Saa S platforms. Passion for continuous learning and adopting modern engineering practices.<br>Not Your Typical Team...<br><br>You'll join our Talent Operations Engineering Team, where we're building the technology that powers global hiring and talent lifecycle operations. Our fully remote engineering team collaborates across multiple countries, combining deep technical expertise with a strong ownership mindset. We value pragmatic decision-making, continuous improvement, knowledge sharing, and shipping high-quality software that solves real business problems. If you enjoy working with experienced engineers, influencing technical direction, and building products that have global impact, you'll feel right at home.<br>The Perks of Being Here...<br><br>Global, remote, and thriving: We're a global team of talented individuals spread across 26 countries. Our Work Flex program lets you work from anywhere, anytime. Whether it's a beachside office or a cosy home office, the choice is yours. Your well-being is our priority: We know mental health matters, which is why we offer a dedicated Well-Being Day—a full day off just to recharge and relax. Get fit and stay active: Whether it's yoga, weightlifting, or a quick jog, work out on your terms with our subsidised gym memberships. Learn, grow, and develop: We believe in constant growth. Our Training & Development Allowance helps you continue expanding your skills. Stay connected: Take part in exciting annual team meetups. Diversity is our superpower: We're proud to be an equal opportunity employer committed to fostering a diverse and inclusive workplace.<br>Benefits vary depending on location due to local laws and regulations. At Work Motion, we're proud to be an equal opportunity employer. If you need any accommodations during the recruitment process, simply let our Recruitment Team know at Jobs@WorkMotion.com. We're here to support you every step of the way.

<p><h4>Deloitte Innovation Hub | Decision Intelligence Solution Architect, Cairo, Egypt</h4> <p>Connect to your career at Deloitte. Deloitte, established globally in 1845, is the world’s largest and leading professional services firm, providing audit and assurance, tax, consulting, financial advisory, and risk advisory services to public and private clients spanning multiple industries. We are present in more than 150 countries, and as the world's largest management consulting business, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.</p> <p>Deloitte Innovation Hub (DIH) is a strategic initiative and priority established by Deloitte North & South Europe (NSE) to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients’ most complex business problems, across portfolios that include ‘Strategy & Transactions’, ‘Customer’, ‘Engineering, AI & Data’, ‘Enterprise, Technology & Performance’ and ‘Cyber’.</p> <p>DIH is aiming to become the destination for top talents in Egypt for a long, exciting career. We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.</p> <p>Connect to your opportunity. The past couple of years have proven that supply chains of today are subject to exponentially increasing volatility, uncertainty, complexity, and ambiguity (VUCA), resulting in a few major and many minor disruptions all around the globe. On the flip side, technological advancements in the area of big data, artificial intelligence (including machine learning), cloud, and more have shown potential to significantly increase the capabilities of a company to weather these storms, especially in the space of supply chain and network operations.</p> <p>Here at Deloitte, we bring these two exponential trends together within our Supply Chain Analytics & Intelligence Practice, to equip our clients with the right tools to obtain agile, effective, and efficient supply chains. We design and implement Cognitive Command Centres, enabled by end-to-end visibility (through data integration, dashboarding, and alerting) on the one hand, and decision intelligence (through machine learning and process automation) on the other. On our journey to the self-driving digital supply network, we are closely collaborating with Aera Technology, a leading innovator in the area of cognitive operating systems.</p> <p>Within this context, we are looking for Solution Architects and Skill Builders who have profound experience in the field of supply chain operations, while having a strong data and analytical mindset, keen on becoming an expert in the domain of Cognitive Command Centres enabled by Decision Intelligence.</p> <h4>As a Solution Architect you:</h4> <ul> <li>Are triggered by the dream of a self-driving supply chain, where different types of day-to-day to strategic decisions are augmented and partially automated through various types of analytics and AI capabilities.</li> <li>Thrive on the intersection between functional requirements and technical enablement with the objective of identifying, designing, implementing, and operating digital products in the form of decision intelligence use cases.</li> <li>Commit to leveraging your supply chain functional knowledge to translate key client challenges into value-oriented solution designs enabled through decision intelligence.</li> <li>Commit to leveraging your technical (analytics and AI) knowledge to translate functional solution requirements into effective, sustainable, and scalable architectures that serve as the backbone of the solution.</li> <li>Are determined to develop a deep understanding of Decision Intelligence solutions (e.g., Aera Technology), and want to keep a focus on Decision Intelligence implementation projects to grow our practice.</li> <li>Will lead the implementation of Decision Intelligence solutions across different project phases (Strategic Roadmap, Solution Design, Implementation, Operation), thereby performing hands-on implementation management activities as part of a bigger implementation team.</li> </ul> <h4>Typical activities include:</h4> <ul> <li>Developing decision intelligence roadmaps, where you envision and optimize the client’s journey from their burning platform today to a state of end-to-end supply chain orchestration, agility, and resilience enabled through decision intelligence.</li> <li>Leading the way in the solution design of decision intelligence ‘skills’ through creative thinking and translating business needs into functional, UI/UX, and technical detailed requirements, and onwards into a working solution.</li> <li>Leading the way in the solution implementation of decision intelligence ‘skills’ using well-structured project accelerators such as user journeys, sprint plans, solution backlogs, and more.</li> <li>Coordinating small teams (e.g., 3 to 5 people) of expert roles (e.g., Skill Builders, UI builders, and Decision Intelligence Functional Experts) located in different geographies.</li> <li>Applying data analytics best practices across the different project phases and activities with a strong focus on simplicity, scalability, efficiency, and transparency.</li> <li>Coaching other team members along their learning journey to help scale our practice and truly drive an impact that matters.</li> </ul> <h4>Connect to your skills and professional experience.</h4> <p>You need:</p> <ul> <li>Preferably a master's degree with a specialization in supply chain management, operations research, computer sciences, optimization techniques, production management, logistics, or equivalent.</li> <li>7 to 12 years of professional experience in a supply chain meets data and analytics context, combining both functional and technical skills.</li> <li>Any prior exposure to decision intelligence is an asset, either as an end-user, an implementation consultant, or product specialist. If not, you have been exposed to solutions such as Aera Technology, Anaplan, c3.ai, Snowflake, Alteryx, and others.</li> </ul> <h4>Preferred skills:</h4> <ul> <li>Very strong data management skills: well-versed in ETL and relational databases; proficiency in SQL and DBA; Java experience is a plus.</li> <li>Proven data visualization experience: UX design, dashboard design, process modelling, business rule modelling.</li> <li>Theoretical or operational experience in supply chain, control towers, and decision intelligence (including data science) is a key asset (commonly referred to as S&OE).</li> <li>Team player with intellectual curiosity and drive to continuously learn. Proven track record of leading small teams of 3 to 5 people.</li> <li>Strong communication skills and fluency in English. Good knowledge of an additional language is an advantage.</li> </ul> <h4>Required software skills:</h4> <ul> <li>MS Office (Excel, PowerPoint, Word, Visio, Outlook)</li> <li>Relational database management - SQL</li> <li>Python is a plus</li> <li>Java is a plus</li> </ul> <h4>Connect to your service line – Technology & Transformation.</h4> <p>Distinctive thinking, deep expertise, and collaborative working. That’s what connects us. That’s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we’ll make an impact that matters.</p> <h4>Connect to your industry.</h4> <p>“What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte’s clients include many of the world’s largest organisations; I wanted to be part of a team that made a difference that I could be proud of.” – Dan, T&T</p> <h4>Our commitment to you</h4> <p>Making an impact is more than just what we do: it’s why we’re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before. We want you. The true you. Your own strengths, perspective, and personality. So we’re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution.</p> <p>You can be sure we’ll take your wellbeing seriously, too. Because it’s only when you’re comfortable and at your best that you can make the kind of impact you, and we, live for.</p> <p>Your expertise is our capability, so we’ll make sure it never stops growing. Whether it’s from the complex work you do, or the people you collaborate with, you’ll learn every day. Through world-class development, you’ll gain invaluable technical and personal skills. Whatever your level, you’ll learn how to lead.</p> <h4>Connect to your next step</h4> <p>A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you’ll experience a purpose you can believe in and an impact you can see. You’ll be free to bring your true self to work every day. And you’ll never stop growing, whatever your level.</p></p><p></p>

Factory Operations Technology Lead (FMCG / Food Manufacturing) Job Title Factory Operations Technology Lead Location[Location]Department Manufacturing / Operations Technology Reports ToEngineering Manager / Plant Manager / Head of Digital Manufacturing Job Summary The Factory Operations Technology Lead is responsible for leading the design, implementation, maintenance, and continuous improvement of manufacturing automation and operational technology (OT) systems across the factory. This role ensures high availability, reliability, cybersecurity, and optimization of production systems while supporting digital transformation initiatives. The ideal candidate has extensive experience in the FMCG or food manufacturing industry, with strong expertise in industrial automation, SCADA systems, PLC programming, Control Logix platforms, edge computing, manufacturing execution technologies, and integration between OT and IT systems. Key Responsibilities Lead factory automation and operational technology initiatives to improve production efficiency, quality, and reliability. Manage the lifecycle of automation systems, including upgrades, modernization, and continuous improvement. Support manufacturing operations by troubleshooting complex automation and control system issues. Design, develop, and implement automation solutions using PLC, HMI, SCADA, and industrial networking technologies. Maintain and enhance Rockwell Automation Control Logix, Compact Logix, and related PLC platforms. Configure, maintain, and optimize SCADA applications for monitoring and control of production processes. Lead implementation and support of industrial edge computing solutions for real-time data collection and analytics. Develop automation standards, documentation, and best practices across manufacturing sites. Collaborate with production, engineering, maintenance, quality, and IT teams to deliver technology projects. Manage automation vendors, system integrators, and contractors during project execution. Ensure compliance with food safety, quality, GMP, HACCP, and regulatory requirements. Implement cybersecurity best practices for industrial control systems in collaboration with IT security teams. Support digital manufacturing initiatives including IIoT, predictive maintenance, AI, and data analytics. Lead commissioning, Factory Acceptance Testing (FAT), Site Acceptance Testing (SAT), and startup activities. Analyze production data to identify opportunities for optimization and process improvement. Develop disaster recovery and backup strategies for automation infrastructure. Mentor automation engineers and maintenance technicians. Required Qualifications Bachelor's degree in Electrical Engineering, Automation Engineering, Mechatronics, Industrial Engineering, Computer Engineering, or a related field.8–12+ years of experience in factory automation within the FMCG or food manufacturing industry. Proven experience leading automation and operational technology projects in manufacturing environments. Strong understanding of food manufacturing processes and production operations. Technical Skills Advanced knowledge of Rockwell Automation Control Logix and Compact Logix PLCs. Strong PLC programming and troubleshooting experience. Experience with SCADA platforms such as Factory Talk View SE/ME, Ignition, Wonderware, Win CC, or AVEVA. Experience with HMI development and industrial visualization systems. Knowledge of industrial communication protocols including:Ether Net/IPModbus TCPProfinet OPC UADevice Net Experience with industrial edge platforms and edge gateways. Knowledge of IIoT architectures and smart factory technologies. Experience integrating PLCs with MES, ERP, historians, and cloud platforms. Understanding of industrial cybersecurity standards (IEC 62443, NIST, ISA/IEC standards). Familiarity with SQL databases and industrial data historians. Experience with virtualization technologies and industrial servers. Knowledge of manufacturing analytics and reporting platforms. Experience with robotics and machine automation is an advantage. Preferred Experience FMCG or food processing manufacturing. Packaging automation. Batch processing systems. Continuous manufacturing operations. Utilities automation. Manufacturing Execution Systems (MES). Digital transformation programs. Predictive maintenance technologies. Industrial AI and machine learning applications. Leadership Competencies Strong project management skills. Excellent stakeholder management. Ability to lead cross-functional teams. Strong analytical and problem-solving skills. Effective communication and presentation abilities. Vendor and contractor management. Change management and continuous improvement mindset. Ability to work under pressure in a fast-paced manufacturing environment. Key Performance Indicators (KPIs) Factory automation system uptime. Production line availability. Mean Time to Repair (MTTR). Mean Time Between Failures (MTBF). Project delivery on time and within budget. Reduction in production downtime. Overall Equipment Effectiveness (OEE) improvement. Automation-related incident reduction. Cybersecurity compliance. Energy and process efficiency improvements. Preferred Certifications Rockwell Automation certifications. Siemens TIA Portal certification. ISA Certified Automation Professional (CAP). PMP or PRINCE2. ITIL Foundation. Industrial Cybersecurity certifications (ISA/IEC 62443, GICSP, or equivalent).

Job Title: Senior Azure AI Engineer (Remote)<br>## Location: Remote<br>Job Summary<br>We are looking for a highly skilled *Senior Azure AI Engineer* to design, develop, and deploy enterprise AI solutions on Microsoft Azure. The ideal candidate will have deep expertise in the *Azure AI ecosystem*, including Azure AI Foundry, Azure Open AI Service, Azure AI Search, Azure AI Document Intelligence, Azure AI Speech, Azure AI Language, and Azure Bot technologies.<br>The successful candidate will have proven experience building AI-powered enterprise solutions such as intelligent chatbots, Voice AI assistants, Retrieval-Augmented Generation (RAG) applications, and document processing solutions integrated with *Microsoft Dynamics 365 Finance & Operations (D365 F&O)*.<br>## Key Responsibilities<br>* Design and implement enterprise AI architectures using Microsoft Azure AI services.* Build intelligent chatbots and AI assistants integrated with Microsoft Dynamics 365 Finance & Operations.* Develop Voice AI solutions using Azure AI Speech services, including speech-to-text, text-to-speech, and conversational voice experiences.* Design and implement AI-powered document processing solutions using Azure AI Document Intelligence.* Build Retrieval-Augmented Generation (RAG) solutions for enterprise knowledge management and business operations.* Develop AI applications using Azure Open AI Service and large language models (LLMs).* Design semantic search solutions using Azure AI Search with vector search and hybrid search capabilities.* Build AI workflows that securely retrieve and process enterprise data from Dynamics 365 F&O and other business systems.* Integrate AI services with enterprise applications using REST APIs, Azure Functions, Logic Apps, and Service Bus.* Develop and configure Microsoft Copilot Studio solutions integrated with Dynamics 365 F&O backend services.* Design scalable, secure, and production-ready AI architectures following Microsoft best practices.* Collaborate with functional consultants, developers, and business stakeholders to identify AI use cases and deliver business value.* Monitor, optimize, and troubleshoot AI applications and cloud services.* Produce architecture documentation, technical designs, and deployment guides.<br>## Required Qualifications<br>* Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, Information Technology, or a related field.* *5+ years* of experience developing enterprise applications on Microsoft Azure.* Strong understanding of Azure AI architecture and cloud-native AI solution design.* Hands-on experience with:<br> * Azure AI Foundry * Azure Open AI Service * Azure AI Search * Azure AI Document Intelligence * Azure AI Speech * Azure AI Language * Azure AI Content Safety* Proven experience building enterprise chatbot solutions using Azure AI technologies.* Experience implementing Voice AI and conversational AI solutions.* Strong experience designing and implementing RAG (Retrieval-Augmented Generation) architectures.* Experience with vector databases, embeddings, semantic search, and knowledge retrieval techniques.* Experience integrating AI solutions with Microsoft Dynamics 365 Finance & Operations.* Experience building and configuring Microsoft Copilot Studio solutions connected to Dynamics 365 F&O backend services.* Strong experience integrating enterprise systems using:<br> * REST APIs * OData * Azure Functions * Logic Apps * Azure API Management * Azure Service Bus* Experience with Microsoft Entra ID (Azure AD) authentication and secure API integration.* Strong programming experience with C#, Python, or Java Script/Type Script.* Experience with Git and Azure Dev Ops.* Strong analytical, debugging, and problem-solving skills.* Excellent communication skills and the ability to work effectively in a remote environment.<br>## Preferred Qualifications<br>* Experience designing multi-agent AI solutions and AI orchestration patterns.* Experience with prompt engineering, LLM evaluation, and responsible AI practices.* Knowledge of Model Context Protocol (MCP), AI agent frameworks, and enterprise AI integration patterns.* Experience deploying containerized AI applications using Docker and Azure Kubernetes Service (AKS).* Familiarity with Azure Machine Learning for model lifecycle management.* Experience implementing AI security, governance, and monitoring.* Microsoft Azure AI Engineer, Azure Developer, or Azure Solutions Architect certifications are highly desirable.* Experience working in Agile/Scrum environments.<br>## Nice to Have<br>* Experience with Microsoft Fabric and enterprise analytics.* Experience integrating AI solutions with Microsoft 365, Teams, and Share Point.* Knowledge of Power Platform and Power Automate for AI-driven business process automation.* Experience delivering AI solutions for Finance, Supply Chain, Human Resources, or Public Sector organizations.* Familiarity with enterprise data platforms, SQL Server, Cosmos DB, and Azure Storage services.<br>This job description targets a senior engineer capable of architecting and delivering end-to-end AI solutions on Azure, with a strong emphasis on Dynamics 365 F&O integration, Azure AI services, Copilot Studio, Voice AI, Document Intelligence, and enterprise RAG implementations.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><span><span>Likecard is looking for a Senior FP&amp;A Analyst to join our Treasury team in Egypt, covering financial planning and analysis across our UAE, KSA, Egypt, Syria, Turkey, and Jordan markets. This is a hands-on role for someone who thrives on turning numbers into decisions — owning budgeting, forecasting, variance analysis, and management reporting for a fast-moving, multi-market e-commerce business.</span></span></p><br><p><span><span>You'll work closely with commercial, operations, and regional teams to build the financial models and dashboards that drive business decisions across the region.</span></span></p><br><span><span>Key Responsibilities</span></span><ul><li><span><span>Own the budgeting, forecasting, and variance analysis cycle across covered markets</span></span></li><li><span><span>Build and maintain three-statement financial models and management reporting dashboards</span></span></li><li><span><span>Analyze P&amp;L drivers, unit economics, and cost structures to surface actionable insights</span></span></li><li><span><span>Extract and structure data from [ERP SYSTEM] for recurring and ad hoc reporting</span></span></li><li><span><span>Translate financial data into clear insights for non-finance stakeholders</span></span></li><li><span><span>Partner cross-functionally with commercial, operations, and regional teams across the GCC and Egypt</span></span></li><li><span><span>Support multi-entity, multi-currency consolidation across covered markets</span></span></li><li><span><span>Manage and develop a team of 4 direct reports</span></span></li></ul><br><span>Requirements</span><ul><li><span><span>Bachelor's degree in Finance, Accounting, or Economics</span></span></li><li><span><span>5+ years of experience in FP&amp;A (budgeting, forecasting, variance analysis, management reporting)</span></span></li><li><span><span>FMVA, CMA, or CFA Level 1 (certified or in progress)</span></span></li><li><span><span>Advanced Excel skills (financial modeling, Power Query, pivot-based reporting)</span></span></li><li><span><span>Strong understanding of P&amp;L drivers, unit economics, and cost analysis</span></span></li><li><span><span>Experience with ERP systems ([ERP SYSTEM]) and data extraction for reporting</span></span></li><li><span><span>Fluent in English (business reporting and presentations); native Arabic speaker</span></span></li></ul><span><span>Nice to Have</span></span><ul><li><span><span>Power BI or similar BI tools</span></span></li><li><span><span>Basic SQL for data pulls</span></span></li><li><span><span>E-commerce, fin tech, payments, or digital marketplace experience</span></span></li><li><span><span>Exposure to multi-entity / multi-currency consolidation (GCC + Egypt)</span></span></li><li><span><span>Familiarity with transaction-margin revenue models and prepaid/gift card economics</span></span></li><li><span><span>Experience automating recurring reports</span></span></li></ul><span><span>What We're Looking For</span></span><ul><li><span><span>Strong analytical and problem-solving mindset</span></span></li><li><span><span>Ability to translate numbers into business insights for non-finance stakeholders</span></span></li><li><span><span>Attention to detail with tight deadline discipline (month-end, forecast cycles)</span></span></li><li><span><span>Proactive ownership and ability to work independently</span></span></li><li><span><span>Clear written and verbal communication</span></span></li><li><span><span>Comfort working cross-functionally, and flexibility to work across time zones (Egypt, KSA, UAE) when needed</span></span></li></ul><br> </div>

About Lucidya<br><br>Lucidya is an AI-native platform for customer experience (CX) intelligence that manages entire customer lifecycles autonomously, from initial engagement through retention and growth.<br><br>Unlike platforms that only surface insights and leave the action to you, Lucidya completes the loop with proprietary Natural Language Understanding (NLU) capabilities developed entirely in-house and trained on millions of multilingual conversations. Our platform empowers marketing, customer support, CX, and research teams to deliver personalized experiences that drive measurable improvements in customer satisfaction, retention, and lifetime value.<br><br>Why This Role Matters<br><br>As Lucidya continues to scale, delivering fast, reliable technical support is critical to maintaining an exceptional customer experience. The Technical Support Specialist plays a pivotal role between Customer Support and Engineering, resolving complex technical issues before they require engineering intervention.<br><br>This role is responsible for diagnosing technical problems, troubleshooting platform issues, and leveraging internal tools to resolve customer incidents efficiently. By reducing unnecessary escalations and enabling faster resolutions, you'll help improve customer satisfaction while allowing Engineering to focus on building and enhancing our products.<br><br>If you enjoy solving technical problems, investigating system behavior, and working closely with cross-functional teams, this role offers the opportunity to make a meaningful impact in a fast-growing AI company.<br><br>What You'll Do<br><br>Own and resolve Level 2 and Level 3 technical support issues escalated from the Customer Support team Troubleshoot technical issues including API errors, data synchronization failures, authentication and access issues, and platform configuration challenges Analyze logs and system behavior to identify root causes and resolve customer issues efficiently Perform technical investigations and debugging using internal tools and limited database access Reproduce product issues and document clear troubleshooting steps before escalating genuine product defects to Engineering Collaborate closely with Customer Support to ensure seamless handover and resolution of escalated cases Communicate technical findings clearly to both customers and internal stakeholders Maintain detailed documentation within the ticketing system, including investigation findings, root causes, and resolutions Contribute to internal runbooks, troubleshooting guides, and knowledge base articles to improve support efficiency Identify recurring technical issues and partner with Product and Engineering to recommend long-term improvements Support our evolving 24/7 customer support operation through a rotational shift schedule, including evenings and weekends<br><br>What Success Looks Like<br><br>Within your first 90 days, you'll:<br><br>Develop a deep understanding of the Lucidya platform, architecture, and technical support processes Become proficient with the internal tools used to diagnose and resolve technical issues Independently resolve Level 2 and Level 3 customer issues with minimal engineering involvement Build strong working relationships with Customer Support and Engineering teams Consistently contribute to reducing engineering escalations while improving customer resolution times Meet key support performance metrics, including First Response Time (FRT), Resolution Time, and Customer Satisfaction (CSAT)<br><br>Requirements<br><br>Who You Are<br><br>2+ years of experience in Technical Support, Application Support, Technical Customer Support, or a similar role within a Saa S environment Current experience supporting B2B Saa S customers Strong troubleshooting and analytical skills with the ability to investigate technical issues independently Hands-on experience diagnosing API issues, authentication problems, data synchronization failures, and platform configuration challenges Comfortable reading logs, identifying root causes, and working with technical systems without requiring direct engineering support Experience using ticketing and collaboration tools such as Intercom, Jira, CRM platforms, or similar support systems Fluent in both Arabic and English, with excellent written and verbal communication skills Able to explain technical concepts clearly to both technical and non-technical audiences Highly organized, detail-oriented, and capable of managing multiple technical investigations simultaneously Bachelor's degree or equivalent qualification<br><br>Nice to Have<br><br>Experience supporting enterprise or government customers Exposure to databases, SQL, APIs, or cloud-based Saa S platforms Familiarity with customer engagement, social listening, or customer experience platforms Experience creating technical documentation, runbooks, or knowledge base articles Previous experience working closely with Engineering or Product teams<br><br>Why You'll Love Working Here<br><br>Join one of the region's leading AI-native technology companies Solve challenging technical problems that directly impact customer success Work alongside experienced Product, Engineering, and Customer Success teams Help build a new Technical Support function and influence how it scales Remote-first working environment Continuous learning and career development opportunities Collaborative, inclusive, and high-performance culture where your impact is visible<br><br>Hiring Process<br><br>Talent Acquisition Screening Hiring Manager Interview Practical Assessment (if applicable) Final Interview Offer

Hello from RE Partners!<br>Who We Are: We are a fast growing business and technology consultant company co-founded in 2019. We offer a custom-tailored, white-glove engineering service fit for our clients, because a digital transformation is more than just technology. With a successful track record of being a preferred vendor for Fortune 500 companies and as a trusted partner for some of the industry’s leading companies, our global talent has helped many clients achieve their goals. The 3 G’s of RE:“Get Shit Done.”“Get Over Shit.”“Give a Shit.”<br>Senior Data Engineer<br>This role exists to drive value for our customers and business functions through effective data engineering, modelling, and data transformations by leading the delivery of strategic data solutions whilst setting up resilient data architecture and engineering foundations and supporting junior members of the data engineering team.<br>Responsible for:Leading the design and orchestration of modularized, automated, event-driven data engineering pipelines and data modeling approaches. Building in quality by design into data engineering practices, enabling a scalable and flexible data architecture and feature rich dataset to support the wider Data function and the entire business. Implementing modern code development and data engineering orchestration strategies to target and streamline our data engineering processes. Embedding new data techniques into the business through coaching, training, and providing experiment design oversight to more junior data engineers. Working with third party partners and software providers to improve and/or implement new data solutions and processes. Being the gatekeeper for customer data, aware of our usage and alignment to data privacy standards, in collaboration with Data Governance to ensure best practice standards are applied/maintained.<br>Accountable for:Working closely with our Lead Data and ML Engineers to drive the adoption of Dev Ops and modern code development practices across the Data function. Collaborating with Quality and Software Engineering and System teams to drive cross-function visibility and reduction of technical debt across the teams. Ensuring that our data engineering processes and pipelines are resilient and future-proof. Developing a strong knowledge of all data sources and maintaining relationships with data users/processors across the company. Being a Senior Data Engineer, supporting more junior data engineering colleagues from a technical skills development perspective.<br>Essential skills and experience:Extensive expertise of RDBMS, Python, Hadoop, SQL and Pyspark. GCP experience, including Dataproc and Dataflow Hands on Java experience Hands on experience in modern code development practices (Infrastructure-as-Code) and data engineering in the Google Cloud Experience of ETL/ELT technical design, automated testing of engineering pipelines, quality assurance and documentation. Proven experience of data warehousing, data wrangling and data modelling approaches. Proven experience coaching junior members of data engineering teams and supporting their skills development. Proven experience working collaboratively with System, Quality Engineering and Software Engineering teams. Demonstrable experience of critical thinking, communication and problem-solving ability and stakeholder management Demonstrate delivery under pressure and to deadline. Experience working in an e-commerce/retail market would be beneficial.<br>Preferred skills and experience:Willingness to learn new tools and techniques; proactively keeping up to date with latest thinking and practices. Able to establish what does/doesn’t align to business/functional strategies/priorities and communicate dependencies clearly. Able to drive the adoption of best practice approaches to data engineering, coaching, and supporting the wider data engineering team. Embrace change with a positive outlook. Confident to challenge, and receptive to being challenged. The ability to thrive in a fast-paced environment.<br><br><br>Join Our Global Team: We invite you to apply for the position at RE Partners. Join us in shaping the future of business technology consulting and transforming the way organizations thrive in a digital world. As a diverse, woman-owned global business, we pride ourselves on keeping talent happy – our 7% attrition rate speaks volumes. Bring your talented friends along and earn a referral bonus<br>Equal Opportunity Employer: We are an equal opportunity employer and welcome applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or veteran status.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>He should be able to operate independently to provide quality work products to an engagement, to perform complex duties and tasks that need independent judgment, in order to implement Oracle products and technology to meet customer needs. He should have experiences and be able to apply Oracle methodology, company procedures, and leading practices. Ability and experiences on acting as the team lead on projects will be seriously taken into consideration. The successful candidate should be able to conduct C-Level communication, effective communication with management of customer organizations. The candidate should also demonstrate proven expertise to deliver functional and technical solutions on moderately complex customer engagements. Ideally, the candidate should be able to demonstrate 4-5 years of experience relevant to this position including 2 years consulting experiences and holding a university degree. Ability to build rapport with team members and clients is essential. Ability to travel across MEA as needed. We believe that different points of view are essential for innovation, and we will offer the chance to be part of an inclusive culture where individuality thrives. We aim for building sustainable relationships both internally with our colleagues, externally with our customers and the communities we are part of. What Does Oracle s Consulting Organization Do? We deliver Oracle Cloud solutions with speed, efficiency and predictability based on our vast experience of more than 1,500 successful Cloud implementations in EMEA. Over 5,500 consultants across EMEA &amp; JAPAC are passionately dedicated to ensuring Oracle Cloud success through our unparalleled experience and extensive global network. The One Oracle approach helps our clients in reducing risk and maximizing their return on investment. We look at our clients business holistically to ensure business outcomes and empower continuous innovation. The initial collaboration is through a contractor relationship with Oracle Consulting with high probabilities for converting to Oracle employee based on performance, delivery quality, ability to travel and personality of the candidate.</p><p>An exciting, high-profile opportunity exists to join our growing Oracle Consulting MEA Delivery team (known internally as the Pharos team) as a Senior Principal, Principal HCM Consultant, or HCM Workstream Lead for Oracle Cloud implementations across the MEA region, depending on experience. The role involves implementing Oracle HCM Fusion for customers across the MEA region. Work with the Project Manager and Solution Architect to plan the HCM implementation project workstream. Analyze customer business requirements and define solution parameters and specifications. Map requirements to Oracle Fusion capabilities. Conduct formal workshops with clients to agree on solution design, demonstrating knowledge of the business environment in defining customer needs. Work with offshore and/or local teams to configure the solution. Support business comparison test plans and activities. Assess business and technical impacts of solutions. Perform software version control and maintain periodic compilation schedules. Conduct knowledge transfer to customers. Ensure project delivery is on time, meets quality standards, fulfills contractual obligations, and achieves customer satisfaction. Manage workstream deliverables. Be responsible for data migration and cutover activities within the workstream. Be responsible for issue resolution post-go-live and transition to support. Assist and provide the technical team with any business clarifications required for technical developments. The following skills will be considered a plus and will open up great HCM career opportunities: Strong knowledge of Payroll Fast Formula and Retro Payment functionalities. Strong knowledge of PL/SQL. Knowledge of Reports / OTBI is a plus. Knowledge of Compensation and OTL modules is a plus.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>University degree in a relevant field.</li><li>Professional Oracle Fusion HCM consulting experience as a practitioner and/or implementation consultant/lead.</li><li>Payroll experience is must for this role</li><li>Proven experience implementing at least three Oracle Fusion HCM modules.</li><li>Understanding of HCM business processes, including Core HR, UAE and KSA payroll requirements, and typical integrations.</li><li>Strong ability to understand, articulate, and address business issues, drivers, and needs.</li><li>Ability to plan and facilitate design sessions.</li><li>Ability to conceptualize solutions of significant scope across multiple business processes.</li><li>Very good presentation and communication skills.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Lucidya Lucidya is an AI-native platform for customer experience (CX) intelligence that manages entire customer lifecycles autonomously, from initial engagement through retention and growth.<br> Unlike platforms that only surface insights and leave the action to you, Lucidya completes the loop with proprietary NLU capabilities developed entirely in-house and trained on millions of multilingual conversations, equipping marketing, support, CX, and research teams to deliver personalised experiences that drive measurable improvements in customer satisfaction, retention, and lifetime value.<br> Why This Role Matters Pipeline is the engine behind everything we want to do in the enterprise segment - and right now Lucidya is scaling fast across large-scale organisations.<br> The companies we want to reach are no longer asking whether AI belongs in customer experience - they are deciding who to buy it from.<br> As a Growth Specialist, you won't just be "running campaigns.<br>" You'll be building the demand-generation engine that turns paid and outbound channels into qualified pipeline, working hands-on inside the Performance Marketing team with modern tooling and AI doing real work alongside a lean team.<br> You will directly influence how much pipeline reaches our sellers, how efficiently we generate enterprise demand, and how fast Lucidya grows in the markets that matter most.<br> If you are data-driven, fast-moving, and you would rather build and ship than wait for a brief, this role is built for you.<br> What You Will Do Own demand-generation targets across paid and outbound channels, and optimize relentlessly to hit lead and pipeline goals.<br> Support the Senior B2B Media Manager to build, launch, monitor, and optimize paid media across Google, LinkedIn, and Meta - including audiences, budgets, negatives, and creative testing.<br> Build and run outbound programs across email and LinkedIn, using enrichment, buyer signals, and AI personalization to keep quality high even at volume.<br> Build and maintain target audiences and contact lists using enrichment and intent data.<br> Own day-to-day marketing operations in HubSpot - workflows, lead routing, lifecycle stages, list hygiene, and deliverability.<br> Partner with content and web teams to build and improve landing pages and conversion paths, and run A/B tests that actually move conversion.<br> Track and report on funnel performance - cost per lead, cost per acquisition, MQL and SQL conversion, and channel ROI - then surface the insight and recommend the fix.<br> Put AI tools to work to scale content and personalization and to automate the repetitive parts of the job.<br> Keep data clean and make sure every campaign meets privacy and anti-spam regulations.<br> You are responsible for outcomes: qualified pipeline, an efficient cost of acquisition, and demand the sales team can actually close.<br> Who You Are You've spent 2 to 4 years in performance marketing, demand generation, growth, or revenue operations - ideally inside B2B SaaS.<br> You've run the real thing: hands-on paid media campaigns, outbound programs, or both.<br> You're analytical to the core and at home in data and reporting - the numbers tell you what to do next.<br> You have an operator mindset.<br> You build, ship, and fix things yourself, and you don't need to be managed task by task.<br> You pick up new tools and AI workflows fast - you'd rather learn one by using it than by reading about it.<br> Your technical toolkit - you know these, or can ramp on them fast: Paid media platforms: Google Ads, LinkedIn Ads, and Meta Ads.<br> CRM and marketing automation: HubSpot.<br> Outbound and enrichment tools: Clay, Apollo, Smartlead, HeyReach, or similar.<br> Analytics and reporting: GA4, Looker Studio, and native platform analytics.<br> AI tools for content and personalization: such as Claude or Codex.<br> Email deliverability is a plus - working knowledge of SPF, DKIM, and DMARC.<br> Bonus points if: You've marketed to customer experience, support, or operations buyers.<br> You've run SEO and AEO alongside paid and outbound.<br> You've run campaigns across multiple markets or languages.<br> Culturally, you are: Ambitious but humble.<br> Competitive but ethical.<br> Outcome-driven, not ego-driven.<br> Comfortable in a fast-scaling environment where structure evolves.<br> What the Hiring Process Will Look Like Screening call with Talent Acquisition Technical interview / deep dive with the hiring manager Practical case study or campaign exercise Bar Raisers Interview (culture fit call) Offer</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><em><strong>This role is open to candidates based in LATAM, Africa, and Eastern Europe. Please note that as this role supports U.S.-based clients, candidates must be available to work during U.S. business hours aligned with the client’s time zone.</strong></em></p><br><p><strong>Client Overview</strong></p><br><p>Our client is a fast-growing AI-powered marketing intelligence platform that helps brands and retailers make smarter media investment decisions through advanced forecasting and attribution modeling. Their engineering team operates at the intersection of data infrastructure and machine learning, building the pipelines and models that power real commercial decisions for some of the most recognizable names in retail and ecommerce. They move quickly, hold high standards for code quality, and give engineers the autonomy to own their work end-to-end — from the first line of code to a clean handoff with full documentation.</p><br><p><strong>Role Overview</strong></p><br><p><strong>The Implementation Data Engineer</strong> is the dedicated technical owner for new client onboarding, responsible for building the customer-specific ELT pipelines, dbt models, and Dagster orchestration that transform a freshly-signed account into a fully modeled, analytics-ready environment. This role sits at the core of the client delivery workflow, partnering closely with the Implementation Project Manager while maintaining full ownership of the technical build. The Implementation Data Engineer works within a modern analytics engineering stack and is expected to deliver independently, surface blockers early, and hand off completed onboardings with clean documentation and monitoring in place.</p><br><p><strong>Location</strong></p><br><p>Fully Remote (Work from Home) | 9AM - 5PM EST</p><br><p><strong>Key Responsibilities</strong></p><br><p><strong>Client Onboarding &amp; Pipeline Development</strong></p><br><ul><li><p>Build and maintain scalable, fault-tolerant <strong>ELT pipelines</strong> for new client onboarding using <strong>Python</strong></p><br></li><li><p>Develop and optimize <strong>dbt</strong> models, tests, and documentation following analytics engineering best practices</p><br></li><li><p>Orchestrate and monitor onboarding workflows using <strong>Dagster</strong></p><br></li><li><p>Model clean, analytics-ready datasets for BI, forecasting, and ML feature consumption</p><br></li></ul><p><strong>Data Quality &amp; Observability</strong></p><br><ul><li><p>Implement and maintain data quality checks and testing strategies throughout the onboarding lifecycle</p><br></li><li><p>Troubleshoot pipeline failures, performance issues, and data inconsistencies during onboarding</p><br></li><li><p>Monitor pipeline health using observability tools and metrics</p><br></li></ul><p><strong>Cross-Functional Collaboration</strong></p><br><ul><li><p>Partner with the Implementation Project Manager to provide realistic engineering ETAs, surface blockers early, and keep work visible in <strong>Jira</strong></p><br></li><li><p>Collaborate with <strong>Data Science</strong> to ensure forecasting and AI feature data lands correctly and on time</p><br></li><li><p>Write clear, concise status updates that stakeholders can act on without rewriting</p><br></li></ul><p><strong>Handoff, Documentation &amp; Continuous Improvement</strong></p><br><ul><li><p>Hand off completed onboardings to the core Data Engineering team with documentation, runbooks, and monitoring in place</p><br></li><li><p>Support data source re-authentications, migrations, and net-new API additions on live accounts</p><br></li><li><p>Contribute to refactoring and improvement of onboarding pipeline templates and patterns as the platform evolves</p><br></li><li><p>Follow established team standards for SLAs, code quality, and deployments</p><br></li></ul><p><strong>Qualifications — Experience</strong></p><br><ul><li><p><strong>3+ years</strong> of professional experience in data engineering or analytics engineering</p><br></li><li><p>Strong proficiency in <strong>Python</strong> (e.g., <strong>pandas</strong>, <strong>SQLAlchemy</strong>, <strong>psycopg2</strong>)</p><br></li><li><p>Hands-on experience with <strong>dbt</strong> (Core or Cloud)</p><br></li><li><p>Hands-on experience with <strong>Dagster</strong> or similar orchestration tools</p><br></li><li><p>Advanced <strong>SQL</strong> skills including CTEs, window functions, and query optimization</p><br></li><li><p>Experience with cloud data warehouses such as <strong>Snowflake</strong>, <strong>BigQuery</strong>, or <strong>Redshift</strong></p><br></li><li><p>Familiarity with modern ELT tools such as <strong>Airbyte</strong>, <strong>Fivetran</strong>, <strong>Meltano</strong>, or <strong>dltHub</strong></p><br></li><li><p>Experience working cross-functionally with Product, Analytics, or Data Science teams</p><br></li><li><p>Ability to work independently and deliver consistently in a contract environment</p><br></li></ul><p><strong>Qualifications — Skills</strong></p><br><ul><li><p>Strong written communication skills — able to produce status updates clear enough for non-technical stakeholders to act on directly</p><br></li><li><p>Proactive about surfacing blockers, data quality issues, and timeline risks before they escalate</p><br></li><li><p>Detail-oriented with a bias for clean handoffs, thorough documentation, and maintainable code</p><br></li><li><p>Comfortable using <strong>AI-assisted tools</strong> (e.g., Claude, ChatGPT) to accelerate personal workflow</p><br></li><li><p>Self-directed with strong ownership mentality in a fully remote, async-friendly environment</p><br></li></ul><p><strong>Opportunity</strong></p><br><p>This is a high-impact contract role where your work directly determines how quickly new clients go from signed contract to fully operational analytics — making you a critical part of a product that informs real media spend decisions at scale. You'll work with a modern, well-designed stack (Python, dbt, Dagster) alongside a team that values engineering craft, clear communication, and continuous improvement. If you thrive in implementation-heavy environments, enjoy owning the full technical lifecycle of a project, and want visibility into how AI-driven forecasting products are built and delivered, this is the role for you.</p><br><strong><u>Application Process:</u></strong>To be considered for this role these steps need to be followed:<ul><li><p>Fill in the application form</p><br></li><li><p>Record a video showcasing your skill sets</p><br></li></ul> </div>

About Lucidya<br><br>Lucidya is an AI-native platform for customer experience (CX) intelligence that helps organizations understand their customers and take action across the entire customer lifecycle.<br><br>Our platform brings together products including Social Listening, Omni Serve, Survey, and AI Agent, helping enterprise organizations across the region turn customer data into better experiences and measurable business outcomes.<br><br>As we continue to scale our products, customers, and AI capabilities, the amount of data we generate is growing rapidly. The opportunity is no longer simply to report on what happened - it's to understand why it happened, what it means, and what we should do next.<br><br>Why this role matters<br><br>We're looking for a Senior Product Analyst who can help make data a genuine part of how Product operates.<br><br>This isn't a role where you'll wait for a Product Manager to ask for a dashboard or pull a report after a decision has already been made. You'll be expected to get close to the product, understand how customers actually use it, spot patterns others may have missed, and bring insights to the table before someone asks for them.<br><br>You'll operate at two levels.<br><br>At the product and feature level, you'll help teams understand whether customers are discovering, adopting, engaging with, and getting value from what we're building. You'll identify friction, investigate unexpected behaviour, evaluate experiments, and help teams decide what to improve, scale, reposition, or stop.<br><br>At the leadership level, you'll connect those individual product signals to the bigger picture - helping leadership understand product performance, emerging opportunities, risks, and where we should invest next.<br><br>The strongest person in this role will be able to move comfortably between a SQL query, a conversation with a Product Manager, and a leadership presentation - and translate the same data into something meaningful for each audience.<br><br>What You'll Do<br><br> Turn product data into decisions. You'll go beyond reporting what happened to understand why it happened, what it means, and what Product should do differently as a result. Help teams define what success actually means. You'll work with Product Managers and other stakeholders to establish meaningful KPIs, success metrics, and measurement plans before features and initiatives are launched. Understand how customers use our products. You'll analyse journeys, funnels, cohorts, adoption, engagement, retention, churn, and behavioural patterns to identify where customers are succeeding and where they're getting stuck. Evaluate whether our products are delivering value. You'll assess feature performance and help teams make evidence-based decisions about whether to improve, scale, reposition, or discontinue initiatives. Bring insights into product discovery. You'll use quantitative evidence alongside customer, product, and market context to help teams understand which problems are worth solving and where the biggest opportunities exist. Challenge assumptions with evidence. When a team believes a feature is working, adoption is strong, or customers are behaving a certain way, you'll be comfortable asking, "What does the data actually tell us?" — constructively and without creating friction. Identify opportunities before you're asked. You won't wait for a stakeholder to request a report. You'll proactively investigate anomalies, emerging trends, underperforming areas, and changes in customer behaviour and bring forward the ones that matter. Support experimentation. You'll help teams define hypotheses, success criteria, and measurement approaches, then analyse experiments and A/B tests to determine what the evidence tells us. Make complex analysis easy to understand. You'll turn large datasets and complicated analysis into clear stories, visualisations, recommendations, and decisions that make sense to both technical and non-technical audiences. Give leadership a clear view of product performance. You'll create reporting that connects detailed product and feature performance to broader business objectives, highlighting progress, drivers, risks, and recommended actions rather than simply presenting numbers. Help Product become more self-sufficient with data. You'll build repeatable analytical frameworks, dashboards, documentation, and self-service resources so teams don't need to come to you for every question. Raise data literacy across Product. You'll coach Product Managers on metrics, analysis, and interpretation, and use workshops, office hours, and day-to-day collaboration to make better use of data part of how the team works. Build trust across teams. You'll work closely with Product, Design, Engineering, and business stakeholders and influence decisions without relying on formal authority<br><br>What Success Looks Like<br><br>In your first 3-6 months, you'll be building trust. Product teams know you as someone who understands the product, asks the right questions, and brings useful insights rather than simply producing reports.<br><br>As you establish yourself, you'll start changing how decisions are made. Product Managers are defining meaningful success metrics earlier, teams are using evidence to evaluate their decisions, and you're proactively surfacing opportunities and risks rather than responding to reporting requests.<br><br>Ultimately, success means Product becomes more intelligent. Leadership has a clear view of what's driving product performance, teams understand why customers behave the way they do, and decisions about priorities and investment are increasingly based on evidence rather than assumptions.<br><br>The shift we're looking for is simple:<br><br>From "What happened?" → "Why did it happen?" → "What should we do about it?"<br><br>Requirements<br><br>Who You Are<br><br> You're naturally curious. When you see an unexpected number, you don't just add it to a report — you want to know what's behind it. You think commercially, not just analytically. You understand that an interesting insight isn't necessarily a useful one. You can connect product behaviour to customer value, business performance, and investment decisions. You don't need to be given the question. You're comfortable starting with an ambiguous problem, figuring out what needs to be understood, and determining what analysis will actually help answer it. You can zoom in and out. You can spend time investigating why a particular feature's adoption dropped while still understanding how that finding connects to the wider product strategy. You're willing to challenge people. You don't simply validate what a stakeholder already believes. You're comfortable presenting evidence that contradicts an assumption, while doing so in a way that builds trust rather than defensiveness. You know that being right isn't enough. Your analysis only creates value if people understand it and act on it. You can turn complex findings into a simple story and a clear recommendation. You're a strong communicator. You can explain an analytical finding to a Product Manager, work through the technical detail with an Engineer, and present the business implication to leadership. You're proactive and self-directed. You don't wait for a ticket to appear in your queue. You notice something worth investigating and take ownership of finding out what it means. You're comfortable with ambiguity and a changing environment. Not every question will have a clean dataset or obvious answer. You know how to work with imperfect information while being transparent about its limitations. You have 4+ years of experience in product analytics, digital analytics, business intelligence, or a closely related field, with experience working directly with digital Product teams. You're technically strong. You can independently use SQL to explore and analyse large datasets and are comfortable working with product analytics or business intelligence platforms such as Mixpanel, Heap, Pendo, Metabase, Amplitude, Looker, Tableau, Power BI, or similar tools. You understand product metrics deeply, including funnels, journeys, cohorts, retention, engagement, adoption, churn, and customer behaviour. You can translate ambiguous business questions into structured analysis and understand the difference between finding a correlation and understanding what it actually means. You're comfortable working remotely and can communicate effectively across teams without relying on being in the same room. You have professional working proficiency in English. <br><br>Nice to Have<br><br> Experience designing or evaluating A/B tests and experiments. Experience with statistical analysis. Familiarity with modern data stacks, data warehouses, transformation tools, event tracking, analytics instrumentation, or data governance. Experience building or improving a product analytics function or data culture. Experience presenting product recommendations to senior leadership. Working knowledge of Python or R. Experience working with B2B Saa S, enterprise products, AI products, or complex data-driven platforms. <br><br>What the hiring process will look like<br><br> Recruiter screening — An initial conversation about your experience, motivations, and what you're looking for next. Analytics interview — A deeper discussion around your product analytics experience, technical capability, and how you approach ambiguous analytical problems. Case study / analytical exercise — You'll be given a product or business problem and asked to analyse the available information, identify the key insights, and explain what you would recommend. Presentation Interview — You'll meet Product and/or business stakeholders to explore how you communicate insights, challenge assumptions, and influence decisions based on the case study. Leadership / culture interview — A final conversation focused on how you operate, collaborate, handle ambiguity, and contribute to a high-performing team

<p><h4>Who we are</h4> <p><strong>VOIS (Vodafone Intelligent Solutions)</strong> is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through talent, technology & transformation.</p> <p>As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and third-party capability.</p> <p>We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.</p> <p>#VOIS #BeUnrivalled #CreateTheFuture</p> <h4>About this role</h4> <p>We are seeking an Infrastructure Operations Engineer to provide second-level (L2) support for Office IT infrastructure services. This role involves end-to-end ownership of critical backend systems, ensuring high availability, performance, and service continuity in line with agreed SLAs. The role requires independent problem-solving, strong technical judgement, and proactive engagement with stakeholders in a complex enterprise environment.</p> <h4>What you’ll do</h4> <ul> <li>Provide L2 operational support for Office IT infrastructure services, including Global Active Directory, ADFS, AD Connect, Office 365, and licence management.</li> <li>Manage backend server platforms, ensuring system availability outside of planned outages.</li> <li>Perform daily health checks, troubleshoot incidents, and resolve assigned trouble tickets within SLA.</li> <li>Own supported services end-to-end, including performance, capacity, and configuration management.</li> <li>Participate in crisis management, coordinating escalations with vendors and internal stakeholders when required.</li> <li>Engage with customers at both management and professional levels, tracking requirements, feedback, and service issues.</li> <li>Communicate status updates effectively with technical leads, authentication teams, and cross-functional stakeholders.</li> <li>Contribute to service improvement initiatives, operational assessments, and change management processes (including CAB).</li> <li>Deliver operational reports, scorecards, and backlog updates within agreed timelines.</li> </ul> <h4>Who you are</h4> <ul> <li>Hold a BSc in Engineering or Computer Science.</li> <li>Bring 2–4 years of experience in IT operations or infrastructure support.</li> <li>Demonstrate strong hands-on experience with Microsoft Office 365 (MCSA certification mandatory; MCSE desirable).</li> <li>Possess solid expertise in Windows Server 2016/2019 and Microsoft SQL environments.</li> <li>Are confident in troubleshooting complex issues and using PowerShell scripting.</li> <li>Have ITIL Foundation certification (OSA and RCV certifications are advantageous).</li> <li>Communicate clearly and effectively in spoken and written English.</li> <li>Work collaboratively, show a strong sense of ownership, and operate with integrity.</li> <li>Are comfortable supporting systems in a large-scale, production environment and working with diverse, international teams.</li> </ul> <h4>Not a perfect fit?</h4> <p>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p> <h4>What's in it for you</h4> <ul> <li>Exposure to complex enterprise-scale IT infrastructure within a global organisation.</li> <li>Opportunities to contribute to service improvement and transformation initiatives.</li> <li>A collaborative, multicultural working environment that values continuous learning and accountability.</li> <li>The chance to build deep technical expertise across Microsoft infrastructure technologies.</li> </ul> <h4>What skills you will learn</h4> <ul> <li>Advanced infrastructure operations and service ownership in a global environment.</li> <li>Incident, problem, and change management aligned to ITIL best practices.</li> <li>Stakeholder engagement and customer management at multiple organisational levels.</li> <li>Operational reporting, SLA management, and service performance optimisation.</li> </ul> <h4>VOIS equal opportunity employer commitment</h4> <p>Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.</p> <h4>Join us</h4> <p>At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.</p> <p>We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.</p> <p>With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.</p></p><p></p>

<p><h4>Who we are</h4> <p>VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through talent, technology & transformation.</p> <p>As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and third party capability.</p> <p>We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.</p> <h4>About this role</h4> <p>We are seeking a senior Java technical lead to provide technical leadership across multiple software delivery initiatives, from early planning through to production deployment. This role is ideal for an individual who combines deep Java expertise with the ability to guide teams, shape technical direction, and ensure high-quality, predictable delivery in a fast-paced, agile environment.</p> <h4>What you’ll do</h4> <ul> <li>Lead software development initiatives from design through to production delivery.</li> <li>Design scalable and maintainable software solutions aligned with best practices and business requirements.</li> <li>Ensure the technical team has a clear and shared understanding of system design and implementation approach.</li> <li>Implement business requirements in line with approved design documentation.</li> <li>Provide clear and accurate reporting on technical progress, risks, challenges, and recommendations.</li> <li>Coach and support technical team members, offering guidance throughout the project lifecycle.</li> <li>Select appropriate technologies and tools to meet customer and system needs.</li> <li>Manage multiple projects and priorities concurrently while maintaining delivery quality.</li> </ul> <h4>Who you are</h4> <ul> <li>Strong proficiency in object-oriented programming and SOLID principles.</li> <li>Extensive hands-on experience with Java 8 or later versions.</li> <li>Solid understanding of software design patterns and architectural principles.</li> <li>Experience with Hibernate and ORM frameworks.</li> <li>Strong knowledge of SQL and NoSQL databases.</li> <li>Experience with unit testing and test-driven development practices.</li> <li>Proficiency in Spring Boot, Git, and Maven.</li> <li>Experience with containerisation technologies such as Docker and Kubernetes.</li> <li>Good understanding of microservices architecture.</li> <li>Experience integrating RESTful and SOAP-based APIs.</li> <li>Familiarity with Agile delivery methodologies.</li> <li>Clear and effective communication skills, with the ability to remain composed and delivery-focused under pressure.</li> <li>A degree in Computer Science, Engineering, or equivalent practical experience.</li> </ul> <h4>Not a perfect fit?</h4> <p>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p> <h4>What's in it for you</h4> <ul> <li>Exposure to large-scale, enterprise-grade technology platforms within a global organisation.</li> <li>Opportunities to influence technical direction and architectural decisions.</li> <li>A collaborative environment that values knowledge sharing and continuous improvement.</li> <li>Access to structured training and certification opportunities.</li> <li>Clear pathways for career growth and internal mobility within VOIS.</li> </ul> <h4>What skills you will learn</h4> <ul> <li>Advanced technical leadership and team coaching capabilities.</li> <li>Enterprise-level solution design and delivery practices.</li> <li>Cross-project prioritisation and stakeholder communication.</li> <li>Scalable microservices and cloud-native delivery approaches.</li> <li>Quality, predictability, and engagement-driven delivery metrics.</li> </ul> <h4>VOIS equal opportunity employer commitment</h4> <p>Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.</p> <h4>Join us</h4> <p>At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.</p> <p>We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.</p> <p>With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.</p></p><p></p>

<p><h4>Who we are</h4> <p><strong>VOIS (Vodafone Intelligent Solutions)</strong> is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through talent, technology & transformation.</p> <p>As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and third-party capability.</p> <p>We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.</p> <h4>About this role</h4> <p>We are seeking an individual to support the integration, implementation and delivery of services, products, tariffs and promotions within billing and front-end systems. This role combines system configuration, quality assurance, and testing activities across key applications within the Vodafone Customer Care and Billing (CCB) platform, ensuring accurate delivery and performance of business services.</p> <h4>What you’ll do</h4> <ul> <li>Perform quality management activities, including defining test cases, creating test customers, executing batch test scenarios, and validating test invoices</li> <li>Execute regression testing for Product Service Manager (PSM) and Customer Billing Manager (CBM) package deliveries</li> <li>Analyse test results for services, products, tariffs, promotions, and layout configurations</li> <li>Maintain and update technical documentation and the team knowledge base</li> <li>Ensure availability of applications and hosted servers across UNIX platforms</li> <li>Troubleshoot and resolve database-related issues</li> <li>Execute standard operational requests related to ALM and Totalview</li> <li>Support the delivery and validation of business rules and layout requirements within billing systems</li> </ul> <h4>Who you are</h4> <ul> <li>Holds a degree in engineering, computer science, or a related field</li> <li>Possesses 1–3 years of experience in IT operations or engineering</li> <li>Demonstrates strong knowledge of BSS and OSS systems</li> <li>Has solid expertise in Oracle relational databases, SQL, UNIX, Linux, and Perl</li> <li>Familiar with MS Office tools and documentation methodologies</li> <li>Understands billing systems and their operational context</li> <li>Works effectively both independently and collaboratively across teams</li> <li>Communicates clearly and manages time and priorities efficiently</li> <li>Approaches challenges with a logical, inquisitive, and solution-oriented mindset</li> <li>Maintains motivation and initiative in a fast-paced, results-driven environment</li> <li>Holds relevant database and/or Unix/Linux certifications (preferred)</li> <li>Brings hands-on experience with testing tools (advantageous)</li> </ul> <h4>Not a perfect fit?</h4> <p>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p> <h4>What's in it for you</h4> <ul> <li>Opportunity to work on critical billing systems within a global telecommunications environment</li> <li>Exposure to end-to-end service delivery and system integration processes</li> <li>Collaboration with cross-functional teams across technology and business areas</li> <li>A supportive environment focused on continuous learning and improvement</li> <li>Experience working with globally recognised platforms and tools</li> </ul> <h4>What skills you will learn</h4> <ul> <li>Advanced testing and quality assurance techniques for billing systems</li> <li>Practical expertise in BSS/OSS environments and telecom processes</li> <li>Database troubleshooting and optimisation skills</li> <li>System integration and service delivery lifecycle understanding</li> <li>Stakeholder collaboration and technical documentation best practices</li> </ul> <h4>VOIS Equal Opportunity Employer Commitment</h4> <p>Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.</p> <h4>Join us</h4> <p>At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.</p> <p>We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.</p> <p>With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.</p> <h4>Alert</h4> <p>Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.</p></p><p></p>

<p><h4>Join us</h4> <p>At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p> <h4>Role purpose</h4> <p>To read, analyze and digest what a business wants to accomplish with its data, and develop business analytics, ad-hoc reporting, reports, dashboards and descriptive modelling and participate in IT/Commercial projects and choose the best possible design from the DWH and BI perspective.</p> <h4>Who you are</h4> <ul> <li>Achieve the agreed objectives in light of the business intelligence strategy.</li> <li>Act as SPOC with account management teams for the new projects.</li> <li>Manage the projects internally within business intelligence team to achieve the business requirements within the agreed timelines with high quality.</li> <li>Responsible for the design, development and ongoing support of reporting and analytical solutions and descriptive models for the business community within the reporting environment.</li> <li>Use range of technologies to make data easily accessible to business users through building self-BI environment and dashboards.</li> <li>Maintain and distribute business reports library and reports metadata.</li> <li>Perform the business analysis and document the specification of business information requests.</li> <li>Work closely with modelling and data management team members for building the new models that serve the business requests.</li> <li>Design and apply data validation strategies; report design and development; security development; end user training; software deployment; and all other facets of a complete system development life cycle.</li> <li>Participate effectively in setting the data governance and reporting strategies that reduce data redundancy wherever possible.</li> <li>Provide input to long-range data warehousing plans and design current ETL systems to be in alignment with those long-range objectives.</li> <li>Work with a team of developers through architecture, design, build, test, and enhancement of corporate business intelligence solutions.</li> <li>Design, code, test and document appropriate data processes, stored procedures or reporting and analytic applications using industry proven best practices.</li> <li>Develop outline design and reports; create necessary objects to meet report requirements.</li> <li>Develop and execute unit, system integration, and user acceptance test plans and play an active role in project rollouts.</li> <li>Investigate and assist in the resolution of any day-to-day application issues.</li> <li>Identify opportunities for sharing and re-using information through the team knowledge base.</li> <li>Act promptly on the reporting issues that are assigned to the second level of support team.</li> </ul> <h4>Qualifications and competencies</h4> <ul> <li>Bachelor’s degree in computer science and/or computer engineering.</li> <li>From 0-3 years’ experience in BI domain with good knowledge of BI development and technologies.</li> <li>Excellent knowledge of Oracle PL/SQL.</li> <li>Good knowledge of BI analytical and reporting tools (SAP BO, Tableau, Power BI).</li> <li>Knowledge of telecom industry standards and technologies is preferred.</li> <li>Excellent interpersonal and communication skills both oral and written mainly in English.</li> <li>Excellent analytical thinking, problem solving and decision making.</li> <li>Service management lifecycle knowledge.</li> <li>Proven modifications and enhancements applied in the design to current application.</li> <li>Proven modifications and enhancements applied to business design.</li> <li>Must have technical and professional qualifications: <ul> <li>B.Sc. of Computer Science or Computer Engineering.</li> <li>Master degree in BI related fields is a plus.</li> <li>Experience in business intelligence field and tools.</li> <li>Certificates in BI related fields is a plus.</li> </ul> </li> </ul> <h4>Not a perfect fit?</h4> <p>Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.</p> <h4>Who we are</h4> <p>We are a leading international telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.</p> <p>Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.</p> <p>If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please contact the recruitment team for guidance.</p> <p>Together we can.</p></p><p></p>

<p><h4>Who we are</h4> <p>VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through talent, technology & transformation.</p> <p>As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and third-party capability.</p> <p>We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.</p> <h4>About this role</h4> <p>We are seeking an experienced Infrastructure Systems Engineer to provide advanced (L3) operational support for Office IT infrastructure services. This role focuses on ensuring high availability, stability, and performance of enterprise platforms including Active Directory, Office 365, and Windows Server environments. The role requires strong independent judgement, deep technical expertise, and end-to-end ownership of supported services while contributing to continuous improvement and service excellence.</p> <h4>What you will do</h4> <ul> <li>Provide third-line (L3) support and escalation management for Office IT infrastructure services.</li> <li>Own and manage backend infrastructure platforms, ensuring agreed availability and performance levels.</li> <li>Perform daily system health checks and proactively resolve infrastructure issues.</li> <li>Diagnose and resolve complex incidents and service requests within defined SLAs.</li> <li>Manage and participate in crisis situations, following established escalation and incident management processes.</li> <li>Collaborate with vendors, internal teams, and technical leadership to restore and improve services.</li> <li>Conduct performance, capacity, and configuration analysis for infrastructure systems.</li> <li>Support service improvement initiatives and contribute to operational readiness for future projects.</li> <li>Act as a technical mentor to L1 and L2 support colleagues, including participation in knowledge-sharing and onboarding activities.</li> <li>Maintain clear communication with stakeholders, including technical leads and cross-functional teams.</li> </ul> <h4>Who you are</h4> <ul> <li>An individual with a bachelor’s degree in engineering or computer science.</li> <li>Someone with 4–6 years of professional experience in IT infrastructure or systems support within large-scale environments.</li> <li>Proficient in Microsoft Office 365 services, Active Directory, ADFS, AD Connect, and licence management.</li> <li>Experienced in Windows Server (2016/2019), Microsoft SQL, and infrastructure troubleshooting.</li> <li>Skilled in PowerShell scripting for automation and operational efficiency.</li> <li>Knowledgeable in ITIL-based service management, with ITIL Foundation certification.</li> <li>Comfortable working in multicultural, globally distributed teams.</li> <li>A clear and confident communicator with strong written and spoken English skills.</li> <li>Customer-focused, accountable, and collaborative in approach, with a strong sense of ownership.</li> </ul> <h4>Not a perfect fit?</h4> <p>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p> <h4>What’s in it for you</h4> <ul> <li>Exposure to complex, enterprise-scale IT infrastructure environments.</li> <li>Opportunities to work with global stakeholders across Vodafone Group.</li> <li>A role with meaningful impact on service availability and customer experience.</li> <li>Continuous learning through operational challenges, service improvement initiatives, and technical mentoring.</li> </ul> <h4>What skills you will learn</h4> <ul> <li>Advanced enterprise infrastructure operations and service ownership.</li> <li>Crisis and incident management in high-impact production environments.</li> <li>Cross-functional collaboration within a global technology organisation.</li> <li>Enhanced automation and scripting capabilities for infrastructure efficiency.</li> </ul> <h4>VOIS equal opportunity employer commitment</h4> <p>Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.</p> <h4>Join us</h4> <p>At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.</p> <p>We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.</p> <p>With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.</p> <h4>Alert</h4> <p>Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>DiDi Global Inc. is the world’s leading mobility technology platform. It offers a wide range of app-based services across markets including Asia-Pacific, Latin America and Africa, including ride hailing, taxi hailing, chauffeur, hitch and other forms of shared mobility as well as auto solutions, food delivery, intra-city freight, and financial services.</p><br><p>DiDi provides car owners, drivers, and delivery partners with flexible work and income opportunities. It is committed to collaborating with policymakers, the taxi industry, the automobile industry and the communities to solve the world’s transportation, environmental and employment challenges through the use of AI technology and localized smart transportation innovations. DiDi strives to create better life experiences and greater social value, by building a safe, inclusive and sustainable transportation and local services ecosystem for cities of the future.</p><br><p>For more information, please visit: www.didiglobal.com/news</p><br>#LI-Hybrid<p>From day one you'll find a rich, collaborative, global culture where your responsibilities will have a direct impact on the company's strategy and growth.</p><br> <p>Being part of the Operations Team will give you the unique opportunity to be responsible for pushing the sustained growth of the DiDi Mobility rider platform while adding value to the marketplace in Egypt via executing new initiatives.</p><br> <ul> <li>Collect, analyze, and interpret large datasets related to rider behavior, trip patterns, customer feedback, and operational performance to support data-driven decision-making.</li> <li>Support the growth and sustainability of the active rider base by monitoring acquisition and recall performance, ensuring healthy sign-up volumes, conversion rates, and retention metrics.</li> <li>Manage and optimize incentive allocation across new rider acquisition and recall initiatives, ensuring efficiency while meeting volume and performance targets.</li> <li>Track campaign performance and key KPIs, providing regular insights and recommendations to improve effectiveness and ROI.</li> <li>Provide analytical and administrative support for cross-functional projects led by the Operations Manager, including timeline tracking, stakeholder coordination, and progress reporting.</li> <li>Evaluate existing operational processes and workflows to identify inefficiencies, gaps, and opportunities for improvement, and support the implementation of optimization initiatives.</li> <li>Assist in A/B testing and experimentation, including hypothesis formulation, result analysis, and post-test recommendations.</li> <li>Collaborate with Product, Marketing, and CX teams to translate insights into actionable improvements across the rider journey.</li> </ul><ul><li>We create customer value – We strive to always create valuable experiences for our users in everything we do. Our focus is to always innovate new experiences that are safe, pleasant, and efficient. </li><li>We are data-driven – We are strong believers in making informed decisions, that’s why we are data-driven. We can better navigate the business landscape strategically by analyzing valuable metrics. </li><li>We believe in Win-win Collaboration – Success is a team sport. When we work to help our partners and colleagues win, we win, too. While keeping everyone's best interest at heart, we communicate with candor and execute with excellence in all we do. </li><li>We believe in integrity – Integrity is at the very core of our business. We are people who always want to do the right thing. Our intentions are sincere, we speak our minds and listen to each other. </li><li>We always strive to do better. That means venturing beyond our comfort zones, learning from our mistakes, and helping each other grow. </li><li>We believe in Diversity and Inclusion – Diversity is one of our biggest strengths. Our differences are what makes us distinct. We respect each other and believe in equal opportunities for all.</li></ul><p><strong>We are committed to building inclusive and diverse teams.</strong></p><br><p>At DiDi, we believe that our differences are our biggest source of strength. That‘s why we are committed to promoting equal opportunities to all candidates and employees as an Equal Opportunity Employer.</p><br><p>Employment and advancement decisions at DiDi are always made based on the needs of the position and the qualifications of the candidate. We do not discriminate against any employee or applicant based on their gender, age, sexual orientation, nationality, marital status, pregnancy/maternity, disability, race, religion and beliefs, or any other status protected by applicable laws wherever we operate.</p><br><p>We are committed to building inclusive and diverse teams, and a workplace that is free from discrimination and harassment, because that’s how we create better products and services, make better decisions and better serve the communities we’re a part of.</p><br><p><em><strong>I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for Candidates which is available on https://careers.didiglobal.com/terms</strong></em></p><br><p>• Bachelor’s degree in Business Administration, Economics, Statistics, or related field.</p><br> <p>• 1-3 years of experience in a data analysis, business analysis, or similar role.</p><br> <p>• Strong analytical skills with experience in using statistical tools and software.</p><br> <p>• Proficient in Microsoft Excel and data visualization tools. SQL knowledge is a plus.</p><br> <p>• Excellent organizational and communication skills.</p><br> <p>• Ability to work effectively in a team and adapt to a rapidly changing environment.</p><br> <p>• Excellent verbal and written communication skills.</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span><b>Our Purpose</b></span></p><br><br><br><p><i>Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a&nbsp;sustainable&nbsp;economy where everyone can prosper. We support a wide range of digital payments choices, making transactions&nbsp;secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.</i></p><br><br><br><p><b>Title and Summary</b></p><br><br><br>Senior Customer Technical Services Analyst<br>Who is Mastercard?<br>Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.<br>Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.<br>Overview<br>The Global Customer Care team is looking for Senior Customer Technical Services Analyst to drive our customer experience strategy forward by consistently innovating and problem-solving. The ideal candidate is passionate about the customer experience journey, highly motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset.<br>Global Customer Care acts as a single point of contact for our external customers and internal business partners. GCC completes analysis of wide variety of customers’ business and technical inquiries, providing end-to-end ownership. GCC is in essence ‘The face of MasterCard’ to ensure our customers receive world class support.<br>Purpose of job<br>•Provide operational and technical support for customers analyzing a wide variety of issues, determine needed actions, and follow through to resolution<br>•Interact with customers to provide information in response to inquiries about products or services and handle and resolve customer issues via telephone and electronic communications (e-mail)<br>Specifics<br>Regional Global Customer Care responsibilities:<br>Regional Customer Support; Basic to Intermediate understanding of Core Products<br>•The position will be part of a global team providing fantastic Customer Support<br>• Are you looking for a chance to start something from scratch?<br>•Have you always been a leader of change and part of the solution?<br>• Do you enjoy creating your own future and choosing the direction it takes?<br>Role <br>• Provide world class support leveraging our Shared Service support model while integrating new procedures across a regional and global network<br>• Communicate frequently and clearly with different products and understand future enhancements<br>• Create documentation materials to be leveraged in a re-useable scalable way so that the product line can be supported on a global level with minimal effort <br>• Serve as focal point for customer issues, concerns and requests for enhancements. <br>• Capture detailed and accurate information about issues, concerns and enhancements. <br>• Work with global customers to complete service inquiries about MasterCard core applications and products. <br>• Collaborate with others in support of products, processes and problem resolution. <br>• Demonstrate the ability to negotiate, resolve and present to internal/external customers. <br>• Lead and/or participate in customer visits for training, education and operational support. <br>• Potential customer visits for training, education and operational support. <br>• Simulate or recreate user issues to resolve operating difficulties. <br>• Recommend and implement business or process improvements, while recognizing global perspectives. <br>• Demonstrate leadership qualities, displaying mentoring ability, project leadership and delegation on an as-needed basis, follow-through, team participation and self-management.<br>All About You<br>Knowledge / Experience: <br>• Technical/operations experience within financial/payments industry <br>• Previous customer service experience required. <br>• Experience in Card domain/operations<br>• Must have a good understanding of Core Products (Credit/Pre-paid/Debit)<br>• Must be familiar with Card Payment Industries (Issuer &amp; Acquirer)<br>• You should be able to display superior Customer Service<br>• Should be able to handle various geographical customer challenges (EEMEA)<br>Skills/ Abilities: <br>• Excellent interpersonal skills and written and verbal communication skills. <br>• Technical and operational skills (PL/SQL, Unix, MS Office, etc) <br>• Advanced analytical, problem resolution and project management skills, including negotiation and conflict resolution. <br>• Ability to adapt to a personal work style to accommodate an ever changing, diverse and global environment and to organize and prioritize multiple tasks simultaneously based on current business needs<br><br><p><b>Corporate Security Responsibility</b></p><br><br><p><br>All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:</p><br><br><ul><li><p>Abide by Mastercard’s security policies and practices;</p><br><br></li><li><p>Ensure the confidentiality and integrity of the information being accessed;</p><br><br></li><li><p>Report any suspected information security violation or breach, and</p><br><br></li><li><p>Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.</p><br><br></li></ul><br><br><br><br><br> </div>