Python Developer Jobs in Egypt

<p>As an Application Security Engineer at Luciq, you will help shape and build our application security program alongside the wider team. This is a hands-on, high-ownership role where you will work closely with product and development teams across the full software development lifecycle reviewing designs before code is written, identifying risks as features take shape, and ensuring security is embedded into how we build and ship software, not bolted on after the fact. Our stack runs on Ruby on Rails, Go, and Python, deployed on AWS with Terraform managing infrastructure as code and Jenkins powering CI/CD. You will read and review code in these languages not just rely on scanner output and work with AWS security services (SecurityHub, Inspector, GuardDuty, CloudTrail, CloudFront) to provide visibility and protection across our infrastructure. The role spans web applications, APIs, our mobile SDK (iOS and Android), cloud, and CI/CD partnering with engineers, PMs, Platform, and the Security team to make the secure path the default path. This role can be filled at mid-level with a clear growth path to senior-level as you grow into shaping our application security program, or at senior-level if you're already operating at that scope. You will join a lean Security team, which entails stepping beyond core AppSec for incident triage, addressing customer security questionnaires, or supporting cross-functional cloud and compliance reviews. We value this variety as a core facet of the role; if you are seeking hyper-specialized work restricted strictly to application security, this may not be the right fit.</p><p><strong>Desired Candidate Profile</strong></p><p><strong>Must-Haves</strong></p><ul><li><strong>Experience:</strong> 3-6 years in application security, or security engineering</li><li><strong>Education:</strong> Bachelor's degree in Computer Science, Information Security, or equivalent practical experience</li><li>Secure code review in at least one of: Python, Ruby, Go can read code and reason about vulnerabilities, not rely on scanner output</li><li>OWASP Top 10 (Web and API) as root-cause patterns, not a memorized checklist including SSRF, insecure deserialization, injection classes, and access-control flaws</li><li>Threat modeling: practical experience with STRIDE and data flow diagrams; can lead a session with a product team and produce actionable output</li><li>Auth and identity: working depth in session management, RBAC/ABAC models</li><li>CI/CD security automation: hands-on experience integrating SAST, SCA, and secret scanning into pipelines and tuning for actionable signal</li><li>Proactive and ownership-driven does not wait to be told what to secure</li><li>Comfortable working cross-functionally with product engineers, platform engineers, and the wider team</li><li>Strong analytical and problem-solving abilities</li><li>Fluent in English, with strong written and verbal communication</li><li>Communication: clear written and verbal communication can explain a vulnerability to an engineer, a PM, or a VP</li></ul><p><strong>Strong Plus</strong></p><p>We expect strong candidates to have some of these not all. The more, the better.</p><ul><li>Mobile SDK security: OWASP Mobile Top 10 and MASVS/MASTG; Android (Kotlin) or iOS (Swift); experience with Frida, objection, or MobSF</li><li>AWS security service depth: SecurityHub, Inspector, GuardDuty, CloudTrail, CloudFront beyond IAM</li><li>Container and Kubernetes security fundamentals</li><li>Supply chain depth: SLSA framework, SBOM</li><li>AI/LLM security: prompt injection mitigations, OWASP LLM Top 10, securing agentic architectures and tool-use boundaries</li><li>Familiarity with ISO 27001 or SOC 2.</li></ul><p><strong>Nice to Have</strong></p><ul><li>Terraform and policy-as-code: tfsec, Checkov, OPA/Conftest</li><li>Experience building or bootstrapping a security program</li><li>Bug bounty participation, published CVEs, or documented security research</li><li>Hands-on certifications: OSCP, OSWE, eMAPT</li><li>Incident response experience triage, containment, root-cause analysis</li><li>Red teaming or purple teaming experience</li></ul>

Responsibilities Design, develop, and implement scalable end-to-end IoT solutions and architectures. Lead firmware development and IoT device integration activities. Develop and integrate IoT solutions using protocols such as MQTT, CoAP, and HTTP. Ensure IoT device, platform, and data security across all layers, including authentication, encryption, and certificates. Integrate IoT platforms with enterprise backend systems and applications. Design and develop backend services and microservices supporting IoT ecosystems. Lead the troubleshooting and resolution of complex production issues. Participate in solution architecture reviews and contribute to technical decision-making. Support UAT, production rollout, deployment, and post-production optimization. Maintain architecture diagrams, technical documentation, and system design specifications. Collaborate effectively with cross-functional teams, including software, cloud, infrastructure, and business teams. Mentor junior engineers and conduct code and technical design reviews. Contribute to CI/CD and Dev Ops practices to improve development and deployment processes. Monitor and optimize IoT platforms, services, and real-time data processing pipelines.<br>Technical Requirements Bachelor's degree in computer engineering, Computer Science, Electrical Engineering, or a related field. Strong hands-on experience in end-to-end IoT architecture and solution design. Very good knowledge of IoT protocols, including MQTT, CoAP, and HTTP. Very good experience in Embedded Systems Programming using C/C++ and Python. Very good experience with Cloud IoT Platforms, preferably AWS IoT and/or Azure IoT. Strong experience in Backend Development and Microservices Architecture. Strong knowledge of databases, including Time-Series, SQL, and NoSQL databases. Very good knowledge of Linux/Unix administration. Good understanding of networking and IoT connectivity technologies, including LTE, NB-IoT, and LoRaWAN.

We are looking for a versatile and talented Full-stack Developer to grow with our global development team. You will be working remotely on the main Assima platform application. Your key role will be to implement features and maintain our platform developed in C# and . NET framework.<br><br>There will be opportunities to work on the future version of our application as a backend developer (Python) or frontend (React), depending on priorities and skills.<br><br>Roles And Responsibilities<br><br>Develop and maintain features for our main platform Deploy code to production and respond to live incidents in production Work closely with developers and QA testers to deliver and meet expectations Work in an international environment with teams in multiple time zones Think out of the box and solve unique problems Attention to detail<br><br>Requirements<br><br>Core skills<br><br>3+ years of experience with C#Strong experience with . NET Framework (ASPX) and ASP. NETExperience with . NET Core / ASP. NET Core Experience with Microsoft SQL Server Extensive experience with legacy ASP. NET is mandatory<br><br>Bonus<br><br>Experience with Entity Framework (EF / EF Core) Experience with WCF (Windows Communication Foundation) services Experience with Rabbit MQ or other message brokers Strong knowledge of Java Script, HTML, CSS, JQuery Understanding of asynchronous programming and multithreading Experience with TFS (Team Foundation Server) / Azure Dev Ops Familiarity with non-relational databases such as Mongo DB and Apache Solr<br><br>Special Requirements For The Role<br><br>Ability to work and communicate clearly and efficiently with team members, with strong English communication both written and spoken M. S. Degree in Computer Science or similar Work within a successful, dynamic, small and growing team Availability to work during CET business hours

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><b>Join Us</b> <br></span><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><br><br><br><b>Role Purpose</b> <br><p>Vodafone Egypt consumer marketing team seeks a <strong>Data Scientist </strong>to boost business`s decisions towards a data-driven decisions.</p><br> <p>As part of our Data Science team, you will work alongside data scientists, big data engineers, and business stakeholders to define data science use cases, advise and solve complex problems and being positioned as the local technical expert.. You will be responsible for implementing and maintaining use case pipelines, and communicating results to scientists, product managers, and customers.<br>Your work will directly impact millions of our customers in the form of products, services and offers. You will gain hands on experience with Vodafone’s huge volume of data and large-scale computing resources.</p><br><br><br><b>Key Accountabilites</b> <br><ul> <li>Solve real-world problems by getting and analyzing large amounts of data, diving deep to identify business insights and opportunities, design simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Scientists, Engineers, business partners, and Product Managers.</li> <li>Conduct written and verbal presentations to share insights to technical or business audiences of varying levels.</li> <li>Write code (Python, R, Scala, etc.) to analyze data and build statistical models to solve specific business problems.</li> <li>Apply statistical and machine learning knowledge to specific business problems and data.</li> <li>Build decision-making models and propose solution for the business problem you define.</li> <li>Supports the prioritisation of both internal and external data assets and works with technology in setting key requirements for data sourcing</li> </ul><br><br><b>Qualifications</b> <br><ul> <li>Master’s or Bachelor’s (or equivalent) in quantitative fields like Mathematics, Statistics, Economics, Computer Science or Engineering</li> <li>Proficient in statistical packages and ML libraries (e.g. R, Python SciPy and NLTK, Spark MLlib, etc)</li> <li>Familiar with leading visualisation tools (e.g. Tableau, Qlikview)</li> <li>Familiar with implementing data transformations and algorithms in common programming languages</li> <li>Strong communication skills with prior experience communicating analytics results to senior management</li> </ul><br><br><b>Who we are</b> <br><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><br> <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><br> <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 refer to https://careers.vodafone.com/application-adjustments/ for guidance.</p><br> <p>Together we can.</p><br><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Introduction <br> <p>A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.</p><br><br> <br> <br> Your role and responsibilities <br> <p>As a Data Scientist with expertise in Artificial Intelligence, you will skillfully combine data analysis and business acumen to tackle cognitive computing challenges. You will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models.</p><br><br> <p>Your primary responsibilities will include:</p><br><br> <p>* <strong>Design AI Solutions:</strong> Architect and deliver AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models, and experience in tools like Github Copilot and Amazon Code Whisperer.</p><br><br> <p>* <strong>Develop Cognitive Solutions:</strong> Create comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data, utilizing expertise in NLP, ML, and other specialized areas such as Image Processing, Video Processing, Voice Processing, or Watson technologies.</p><br><br> <p>* <strong>Implement AI Frameworks:</strong> Apply strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face, to develop and deploy AI models.</p><br><br> <p>* <strong>Manage AI Project Lifecycle:</strong> Oversee the full AI project lifecycle, from research and prototyping to deployment in production environments, ensuring successful project delivery.</p><br><br> <p>* <strong>Collaborate with Stakeholders:</strong> Work with various stakeholders to identify business problems and leverage the power of artificial intelligence for cognitive computing, driving business value through AI-driven solutions.</p><br><br> <br> <br> Required education <br> Bachelor's Degree <br> <br> Preferred education <br> Bachelor's Degree <br> <br> Required technical and professional expertise <br> <p>* <strong>Advanced Analytics Techniques:</strong> Exposure to advanced analytics techniques for structured data, including data analysis and interpretation, to inform business decisions and tackle cognitive computing challenges.</p><br><br> <p>* <strong>AI Frameworks and Tools:</strong> Experience working with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face, and tools like Github Copilot and Amazon Code Whisperer to develop and deploy AI models.</p><br><br> <p>* <strong>Programming Skills:</strong> Proficiency in Python programming language, with experience in applying programming skills to develop and deploy AI solutions.</p><br><br> <p>* <strong>NLP and ML Methods:</strong> Exposure to Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, including foundation models and large language models.</p><br><br> <p>* <strong>Cloud Platforms and Databases:</strong> Experience working with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services, as well as relational and NoSQL databases (SQL, Postgres, DB2, MongoDB).</p><br><br> <br> <br> Preferred technical and professional experience <br> <p>* <strong>Familiarity with Modern UI:</strong> Familiarity with modern UI frameworks such as Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and JQuery, with the ability to apply this knowledge in developing AI solutions.</p><br><br> <p>* <strong>Understanding of Libraries:</strong> Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc., with the ability to apply this knowledge in developing AI solutions.</p><br><br> <p>* <strong>Operating Systems Knowledge:</strong> Experience working with various operating systems (Linux, Windows, iOS, Android), with the ability to apply this knowledge in developing and deploying AI solutions.</p><br><br> <br> <br> <br> <br> <br> </div>

<p><strong>About the Role</strong></p><p>We are looking for a highly skilled Senior Data Analyst to lead our commercial reporting, sales analytics, and automation engine. In this role, you will be directly responsible for designing, building, and maintaining our core sales dashboards, delivering daily performance reports, and providing deep granular analysis on product sales mix, revenue drivers, and customer trends.</p><p>The ideal candidate is an expert in Power BI and Advanced Excel who also leverages modern AI tools, automation platforms (Microsoft Power Platform), and cloud environments to turn raw data into strategic action. If you thrive on optimizing workflows, uncovering hidden revenue opportunities, and working at the intersection of business strategy and cutting-edge tech, this role is for you.</p><p></p><p><strong>Key Responsibilities</strong></p><p>• Sales Dashboards &amp; Daily Reporting: Architect, build, and maintain interactive, real-time Power BI and Excel dashboards tracking revenue, volume, targets, and KPIs. Take end-to-end ownership of daily sales reporting.</p><p>• Sales Mix &amp; Commercial Analytics: Analyze product performance, regional variance, sales mix shifts, pricing elasticties, and customer segmentation to provide actionable commercial recommendations to executive leadership.</p><p>• Workflow Automation: Leverage Microsoft Power Automate and Power Apps to streamline data ingestion, trigger automated alerts for sales performance anomalies, and eliminate manual reporting overhead.</p><p>• AI &amp; Modern Tech Integration: Integrate generative AI tools (ChatGPT, Claude, Copilot, Python AI libraries) into daily workflows to write advanced code, optimize DAX/SQL queries, build predictive models, and speed up analytical output.</p><p>• Cloud Data Management: Query, clean, and model structured and un-structured datasets using cloud platforms and data environments to ensure data integrity and scalable architecture.</p><p>• Cross-Functional Collaboration: Partner with Sales, Marketing, and Finance teams to translate complex business requirements into robust technical specifications and self-service analytics tools.</p><p><strong>Requirements</strong></p><p><strong>Qualifications:</strong></p><p><strong>1. Advanced Data Visualization &amp; BI Tools</strong></p><p>• <strong>Power BI:</strong> Expert-level proficiency in DAX, Power Query (M), data modeling (Star Schema), row-level security (RLS), and custom visual creation.</p><p>• <strong>Advanced Excel:</strong> Mastery of Power Pivot, advanced formulas (XLOOKUP, INDEX/MATCH, dynamic arrays), complex VBA/Macros, and executive dashboard design.</p><p><strong>2. Automation &amp; Microsoft Ecosystem</strong></p><p>• <strong>Microsoft Power Platform:</strong> Advanced experience with <strong>Power Automate</strong> (building automated flows between cloud data sources, email, SharePoint, Teams, and Power BI).</p><p>• <strong>Microsoft Cloud / Office 365:</strong> Deep familiarity with Azure environments, SharePoint online architecture, and enterprise Microsoft tools.</p><p><strong>3. AI Capabilities &amp; Cloud Environments</strong></p><p>• <strong>AI Integration:</strong> Hands-on experience using advanced AI platforms (<strong>Claude</strong>, OpenAI/ChatGPT, Microsoft Copilot) for data cleaning, code refactoring, automation, and predictive analytics.</p><p>• <strong>Cloud &amp; Database Management:</strong> Strong proficiency in <strong>SQL</strong> (Snowflake, BigQuery, Azure SQL, or AWS Redshift) and cloud data pipeline fundamentals. Familiarity with Python/R for data manipulation is a major plus.</p><p><strong>4. Analytical Thinking &amp; Soft Skills</strong></p><p>• <strong>5+ years of experience</strong> in data analytics, business intelligence, or commercial finance (prior focus on retail, FMCG, e-commerce, or B2B sales is preferred).</p><p>• Proven track record of evaluating <strong>sales mix</strong>, product profitability, and variance analysis.</p><p>• Excellent communication skills—ability to present complex data stories clearly to C-suite stakeholders.</p><p>&nbsp;</p><p><strong>Benefits:</strong></p><ul><li><p>Competitive salary and benefits package.</p></li><li><p>Opportunity to work in a fast-paced and dynamic environment.</p></li><li><p>Be part of a team that is passionate about delivering an exceptional dining and fast food experience.</p></li><li><p>Make a real impact on the profitability of our restaurants.</p></li></ul><p></p>

<p>We are looking for a QA / ML Tester – Evaluation Framework to ensure the quality, reliability, and correctness of evaluation systems used across enterprise AI and agent-based platforms. In this role, you will design and execute validation strategies for evaluation frameworks, test evaluator behavior across multiple scenarios, and verify the accuracy of automated quality assessment pipelines. You will work closely with AI engineers, platform teams, and quality specialists to establish confidence in evaluation results and support enterprise-grade AI governance.</p><p><b><br></b></p><p><b>What project we have for you</b></p><p>Our customer is a multinational corporation with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs). The target audience is more than 1 billion consumers around the globe. IT platform hosts 700+ applications.</p><p>Intellia’s mission is to help the client with the engineering of a comprehensive software ecosystem for a game-changing IoT product on the margin of innovative consumer experience and cutting-edge technology. Our teams are involved in the engineering of core platform components for best-in-class eCommerce, Digital Marketing and IoT solutions. As an Engineer, you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprise Platform.</p><p>The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of compliance and best practices.</p><p><br></p><p>What you will do</p><p>Design, implement, and maintain automated test suites for AI evaluation frameworks and evaluation pipelines.</p><p>Develop Python-based test automation using pytest to validate evaluator behavior, quality scoring, and framework reliability.</p><p>Create and maintain known-good and known-bad test datasets, sessions, and workflows for evaluator correctness validation.</p><p>Validate the accuracy and consistency of evaluation results across different agent workflows, prompts, tools, and execution scenarios.</p><p>Design and execute integration tests for on-demand evaluation workflows integrated into CI/CD pipelines.</p><p>Verify online evaluation behavior, sampling accuracy, and evaluation result consistency in production-like environments.</p><p>Conduct functional testing of evaluation components, including evaluator execution flows, scoring logic, and result aggregation.</p><p>Collaborate with AI and platform engineering teams to identify edge cases, failure scenarios, and evaluation blind spots.</p><p>Validate workflow compliance, tool execution assessment, and end-to-end quality evaluation processes.</p><p>Support feasibility assessments for applying evaluation frameworks to non-AgentCore runtimes and alternative AI execution environments.</p><p>Analyze defects, inconsistencies, and quality regressions within evaluation systems and provide actionable recommendations.</p><p>Contribute to quality assurance standards, testing methodologies, and best practices for AI evaluation platforms.</p><p>What you need for this</p><p>Skills:</p><p><br></p><p>• Python test automation (pytest)</p><p>• Evaluator correctness testing (known-good / known-bad session pairs)</p><p>• On-demand mode integration testing with CI/CD</p><p>• Online mode sampling accuracy validation</p><p>• Non-AgentCore runtime feasibility assessment methodology&nbsp;</p><p><br></p><p>Experience:</p><p><br></p><p>• 4+ years QA or ML testing engineering</p><p>• AI/LLM system quality testing</p><p>• Integration test design for evaluation pipelines&nbsp;</p><p>• Experience with AWS environment&nbsp;</p><p><br></p><p>Nice-to-have</p><p><br></p><p>• AWS AgentCore Evaluation API testing</p><p>• OpenTelemetry trace-based evaluation input testing</p><p>• Multi-evaluator execution correctness testing</p><p><strong>Desired Candidate Profile</strong></p><p><br></p>

We are looking for a skilled AI Data Engineer to join our team and play a key role in building and maintaining scalable data platforms and AI-ready pipelines within banking and payments systems.<br><br>⚙️ Key Responsibilities Build and maintain data pipelines (batch, micro-batch, real-time) for banking and payments data Develop AI-ready datasets for ML use cases (fraud detection, credit scoring, AML/KYC) Implement data ingestion frameworks from multiple sources (core banking, APIs, payment gateways) Design and manage data storage solutions (Data Lake / Lakehouse / SQL & NoSQL) Ensure data quality, consistency, and validation across workflows Support feature engineering and ML pipelines Implement streaming solutions (Kafka / Event Hub) for real-time processing Optimize performance for handling large-scale transactional datasets Ensure compliance with data security and regulations (PCI DSS, GDPR) Contribute to CI/CD pipelines and Dev Ops practices<br>????️ Required Skills✅ Core:Strong experience in Python & SQLHands-on experience with Spark / Databricks✅ Data Engineering Tools:Azure Data Factory (ADF) Airflow / DBT / SSIS✅ Streaming:Kafka / Event Hub✅ Cloud:Azure (preferred) AWS / GCP✅ Knowledge:Data modeling (OLTP / OLAP) AI/ML data preparation pipelines Handling structured & unstructured data<br>???? Domain Expertise (Must Have) Experience in Banking / Fintech / Financial Services Strong understanding of:Payment flows Transaction processing ISO 20022 / SWIFT / Card systems Exposure to:Fraud Detection AML / KYC datasets<br>???? Qualifications Bachelor’s in Computer Science / Data Engineering or related field3–5 years of experience in Data Engineering Banking experience is highly preferred<br>⭐ Nice to Have Delta Lake / Lakehouse architecture Real-time analytics / event-driven systems Docker / Kubernetes / Dev Ops Data governance tools

???? Senior Data Science Consultant – Cards Marketing Analytics???? Location: Egypt (Onsite – Client Office)???? Term: 12 months???? Eligibility: Egyptian???? Experience: 7+ years<br>???? About the Role<br>We are seeking a Senior Data Science Consultant – Cards Marketing Analytics to join our client engagement in Egypt. This role is pivotal in leveraging advanced analytics and predictive modeling to drive marketing strategies for credit and debit card portfolios. You will collaborate with client teams to deliver actionable insights that enhance spend growth, improve retention, and reduce churn.<br>???? Key Responsibilities Build predictive models for customer targeting, spend growth, retention, and churn reduction. Develop customer segmentations to support lifecycle marketing, campaign strategy, and personalization. Analyze campaign performance across segments, products, channels, and behaviors. Design test-and-learn frameworks including control groups and post-campaign reviews. Partner with client stakeholders to ensure outputs are practical, explainable, and business-ready.<br>✅ Requirements7–8 years of experience in data science / advanced analytics / consulting. Strong background in banking analytics, especially credit & debit cards. Expertise in marketing analytics, predictive modeling, segmentation, campaign analytics. Proficiency in Python, SAS, SQL with large banking datasets. Solid knowledge of statistical modeling, ML, model validation, performance tracking. Strong communication skills for senior-level presentations & reports. Consulting discipline: structured problem-solving, ownership, timely delivery. Comfortable working as a contractor in Egypt<br>???? Preferred Qualifications Based in Egypt (Egyptian) Experience in Egypt banking market. Exposure to card lifecycle analytics (acquisition, activation, usage, spend growth, retention, attrition). Familiarity with CRM, campaign management, marketing automation tools. Experience with A/B testing, uplift modeling, next-best-action, offer optimization, CLV models. Knowledge of cloud-based data platforms & modern analytics environments.<br>???? Apply Now: Send your CV to simmi@hiresquad.in

<div><span style="font-size: 11px;"><b>Job Overview</b></span></div><div><span style="font-size: 11px;">At Ecolab, we are committed to helping our customers achieve cleaner, safer, and healthier environments while driving operational excellence across our business. As an LDP Planning Analyst, you will play a key role in accelerating the digital transformation agenda across the Northwest Africa Supply Chain organization.</span></div><div><span style="font-size: 11px;"><br></span></div><div><span style="font-size: 11px;">This position combines supply chain analytics, process engineering, automation, and continuous improvement to enhance visibility, decision-making, and operational performance across multiple markets.</span></div><div><span style="font-size: 11px;"><br></span></div><div><span style="font-size: 11px;">What's in it for You?</span></div><div><span style="font-size: 11px;">Gain exposure to a regional supply chain organization spanning multiple countries.</span></div><div><span style="font-size: 11px;">Work with modern digital and analytics tools including Power BI, Power Platform, SQL, and automation technologies.</span></div><div><span style="font-size: 11px;">Lead impactful projects that improve service, inventory performance, and operational efficiency.</span></div><div><span style="font-size: 11px;">Partner with cross-functional teams across Supply Chain, Manufacturing, Quality, SHE, and Commercial functions.</span></div><div><span style="font-size: 11px;">Develop valuable experience in digital transformation, process excellence, and supply chain analytics within a global organization.</span></div><div><span style="font-size: 11px;">Contribute directly to Ecolab's long-term growth and operational excellence strategy.</span></div><div><span style="font-size: 11px;">What You Will Do</span></div><div><span style="font-size: 11px;">Supply Chain Analytics &amp; Reporting</span></div><div><span style="font-size: 11px;">Develop and maintain interactive Power BI dashboards to support business decision-making.</span></div><div><span style="font-size: 11px;">Analyze supply chain KPIs including inventory, service level, transportation performance, and operational efficiency.</span></div><div><span style="font-size: 11px;">Deliver insights that enable fact-based decisions and performance improvements across the region.</span></div><div><span style="font-size: 11px;">Automation &amp; Digital Solutions</span></div><div><span style="font-size: 11px;">Design and implement automated workflows using Power Automate and related tools.</span></div><div><span style="font-size: 11px;">Support data extraction, transformation, and integration from multiple systems including ERP and SQL databases.</span></div><div><span style="font-size: 11px;">Identify opportunities to digitize and simplify manual reporting and business processes.</span></div><div><span style="font-size: 11px;">Process Engineering &amp; Continuous Improvement</span></div><div><span style="font-size: 11px;">Lead and support process optimization initiatives focused on efficiency, quality, and cost improvement.</span></div><div><span style="font-size: 11px;">Conduct root cause analysis and implement sustainable corrective actions.</span></div><div><span style="font-size: 11px;">Support standardization of processes and best practices across operations.</span></div><div><span style="font-size: 11px;">Contribute to automation and digitalization projects that improve process control and visibility.</span></div><div><span style="font-size: 11px;">Develop and maintain process documentation, work instructions, and operating procedures.</span></div><div><span style="font-size: 11px;">Stakeholder Management</span></div><div><span style="font-size: 11px;">Collaborate with supply chain teams across Northwest Africa markets.</span></div><div><span style="font-size: 11px;">Partner with cross-functional stakeholders to align priorities and drive execution.</span></div><div><span style="font-size: 11px;">Present analysis, recommendations, and project progress to leadership teams.</span></div><div><span style="font-size: 11px;">Data Modelling</span></div><div><span style="font-size: 11px;">Build scalable data models supporting regional reporting and performance management.</span></div><div><span style="font-size: 11px;">Standardize metrics and reporting frameworks across multiple countries.</span></div><div><span style="font-size: 11px;">Minimum Qualifications</span></div><div><span style="font-size: 11px;">Bachelor's degree in industrial engineering, Supply Chain, Operations, Data Analytics, Information Systems, or a related field.</span></div><div><span style="font-size: 11px;">2-4 years of experience in Supply Chain Analytics, Process Engineering, Business Intelligence, Digital Transformation, or Continuous Improvement.</span></div><div><span style="font-size: 11px;">Experience using Power BI to build dashboards and data visualizations.</span></div><div><span style="font-size: 11px;">Strong analytical skills with advanced Microsoft Excel capabilities.</span></div><div><span style="font-size: 11px;">Experience working with ERP systems and large datasets.</span></div><div><span style="font-size: 11px;">Strong communication and stakeholder management skills.</span></div><div><span style="font-size: 11px;">Ability to work effectively in a fast-paced, multi-country environment.</span></div><div><span style="font-size: 11px;">Preferred Qualifications</span></div><div><span style="font-size: 11px;">Experience with Power Automate and Power Apps.</span></div><div><span style="font-size: 11px;">Knowledge of SQL and database management.</span></div><div><span style="font-size: 11px;">Python experience for analytics and automation.</span></div><div><span style="font-size: 11px;">Lean Six Sigma or continuous improvement background.</span></div><div><span style="font-size: 11px;">Experience in manufacturing, supply chain, or process-oriented industries.</span></div><div><span style="font-size: 11px;">Experience leading digital transformation or automation initiatives.</span></div><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in industrial engineering, Supply Chain, Operations, Data Analytics, Information Systems, or a related field. 2-4 years of experience in Supply Chain Analytics, Process Engineering, Business Intelligence, Digital Transformation, or Continuous Improvement. Experience using Power BI to build dashboards and data visualizations. Strong analytical skills with advanced Microsoft Excel capabilities. Experience working with ERP systems and large datasets. Strong communication and stakeholder management skills. Ability to work effectively in a fast-paced, multi-country environment. Preferred Qualifications Experience with Power Automate and Power Apps. Knowledge of SQL and database management. Python experience for analytics and automation. Lean Six Sigma or continuous improvement background. Experience in manufacturing, supply chain, or process-oriented industries. Experience leading digital transformation or automation initiatives.</p>

Valleysoft is a regional IT services provider delivering enterprise technology, application development, process management, and IT support services to clients around the world. Working across the Information Technology and Services sector, the company helps organizations build reliable, scalable digital solutions that support complex business and operational needs.<br><br>This role is an opportunity to contribute to modern data platform initiatives that power analytics and AI use cases across the enterprise. As a Data Engineer - Data Platforms (Databricks), you will play a central role in shaping data infrastructure, supporting cross-functional teams, and helping ensure data systems are performant, secure, and built to scale.<br><br>Responsibilities<br><br>Design, develop, and maintain scalable data pipelines for batch and real-time processing Build and optimize enterprise data platforms using Databricks and Apache Spark Develop ETL/ELT processes to ingest, transform, and integrate data from multiple sources Implement Delta Lake architecture and maintain data lake/lakehouse solutions Collaborate with Data Scientists, AI Engineers, Business Analysts, and application teams to support analytics and AI initiatives Optimize data storage, partitioning, and query performance Develop reusable data engineering frameworks and automation solutions Implement data quality, validation, lineage, and governance processes Ensure data security, privacy, and compliance with enterprise standards Monitor platform performance, troubleshoot production issues, automate deployment and infrastructure, contribute to architecture reviews, and maintain technical documentation and runbooks<br><br>Requirements<br><br>Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field6+ years of data engineering experience working with Databricks and Apache Spark Strong experience with Python and SQL, along with hands-on involvement in ETL/ELT processes Experience working with Delta Lake and cloud platforms Fluent in English Eligibility to work in Egypt

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Build and deploy production-grade Generative AI and Agentic AI solutions across the organization. Develop multi-agent systems and agent-to-agent (A2A) orchestration for autonomous, end-to-end workflows. Build RAG pipelines with vector databases and embeddings to ground LLMs in enterprise data. Design, train, and deploy Deep Learning models (NLP, CV, time-series) using PyTorch. Use AWS (Bedrock, SageMaker) and Azure (OpenAI, ML Studio) to host and scale AI workloads. Integrate Snowflake Cortex AI/ML, SAP Joule, and MuleSoft AI Chain with enterprise systems. Apply prompt engineering, function calling, and guardrails for reliable LLM apps. Operationalize models with MLOps/LLMOps: CI/CD, evaluation, monitoring, and responsible AI.</p><p>Key Responsibilities:</p><ul><li>Build LLM apps and agentic workflows using LangChain, LangGraph, LlamaIndex, AutoGen, or CrewAI.</li><li>Design agent-to-agent (A2A) orchestration: planning, tool use, memory, and multi-agent collaboration.</li><li>Develop RAG pipelines: chunking, embeddings, vector search, re-ranking, and grounding.</li><li>Train and fine-tune deep learning models with PyTorch.</li><li>Deploy models on AWS Bedrock, SageMaker, Azure OpenAI, and Azure ML Studio.</li><li>Integrate AI with Snowflake Cortex, SAP Joule, and MuleSoft AI Chain.</li><li>Apply prompt engineering, evaluation, and guardrails for safe, accurate outputs.</li><li>Implement MLOps/LLMOps: experiment tracking, CI/CD, monitoring, and drift detection.</li><li>Collaborate with engineering, data, and business teams and document architectures.</li></ul><p>Deliverables:</p><ul><li>Production GenAI and agentic applications adopted by business users.</li><li>Working multi-agent systems with A2A orchestration automating key workflows.</li><li>Reliable RAG pipelines with accurate, grounded LLM responses.</li><li>Trained and deployed deep learning models meeting accuracy, latency, and cost targets.</li><li>Successful integrations with Snowflake Cortex, SAP Joule, and MuleSoft AI Chain.</li><li>End-to-end MLOps/LLMOps pipelines for training, deployment, and monitoring.</li><li>Responsible AI guardrails ensuring quality, safety, and governance.</li><li>Reusable AI components, prompt libraries, and reference architectures.</li><li>Clear technical documentation and architecture diagrams.</li><li>Measurable business outcomes: efficiency, automation, and better user experience.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>5+years of experience</li><li>Bachelor's degree in Computer Science, AI, Data Science, Software Engineering, or Mathematics.</li><li>Certifications in AWS, Azure, Snowflake, GenAI, or ML preferred.</li><li>Equivalent hands-on AI/ML experience may substitute for certifications.</li><li>Mandatory Technical Skills:</li><li>Strong Python with NumPy, Pandas, scikit-learn, PyTorch, TensorFlow, Hugging Face.</li><li>Hands-on with LLM and agent frameworks: LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI.</li><li>Experience designing agent-to-agent (A2A) orchestration: tool use, planning, function calling, memory.</li><li>Practical RAG experience with vector DBs (Pinecone, Weaviate, Chroma, FAISS, pgvector).</li><li>Solid Deep Learning: transformers, CNNs, RNNs, fine-tuning, and model evaluation.</li><li>Hands-on with AWS AI/ML: Bedrock, SageMaker, Lambda, S3.</li><li>Hands-on with Azure AI/ML: Azure OpenAI, ML Studio, AI Foundry.</li><li>Good experience with Snowflake AI/ML: Cortex AI and Snowpark ML.</li><li>Good experience with SAP Joule: GenAI copilot and SAP integrations.</li><li>Good experience with MuleSoft AI Chain on Anypoint Platform.</li><li>Proficient in prompt engineering, evaluation, and guardrails.</li><li>Experience with REST APIs, Git, Docker, and CI/CD for models.</li><li>Solid MLOps/LLMOps: tracking, versioning, monitoring, responsible AI.</li><li>Strong analytical, problem-solving, and communication skills.</li></ul><p>Tools and Technologies:</p><ul><li>Languages &amp; Frameworks: Python, PyTorch, TensorFlow, Hugging Face, scikit-learn, FastAPI.</li><li>LLM &amp; Agent Frameworks: LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, Semantic Kernel.</li><li>LLM Providers: OpenAI, Anthropic Claude, Llama, Mistral, Cohere, Hugging Face.</li><li>Cloud AI: AWS Bedrock, SageMaker, Azure OpenAI, Azure ML Studio, AI Foundry.</li><li>Enterprise AI: Snowflake Cortex &amp; Snowpark ML, SAP Joule, MuleSoft AI Chain.</li><li>Vector DBs: Pinecone, Weaviate, Chroma, FAISS, pgvector, Milvus.</li><li>Data &amp; Storage: Snowflake, SQL, PostgreSQL, MongoDB, S3, Azure Data Lake, Pandas, Spark.</li><li>MLOps/LLMOps: MLflow, Weights &amp; Biases, LangSmith, LangFuse, Docker, Kubernetes, Git CI/CD.</li><li>Evaluation: RAGAS, DeepEval, TruLens, Arize.</li><li>Collaboration: Jupyter, VS Code, Jira, Confluence, Postman.</li></ul><p></p></section>

???? Senior Data Science Consultant – Cards Marketing Analytics???? Location: Egypt (Onsite – Client Office)???? Term: 12 months???? Eligibility: Egyptian???? Experience: 7+ years<br>???? About the Role<br>We are seeking a Senior Data Science Consultant – Cards Marketing Analytics to join our client engagement in Egypt. This role is pivotal in leveraging advanced analytics and predictive modeling to drive marketing strategies for credit and debit card portfolios. You will collaborate with client teams to deliver actionable insights that enhance spend growth, improve retention, and reduce churn.<br>???? Key Responsibilities Build predictive models for customer targeting, spend growth, retention, and churn reduction. Develop customer segmentations to support lifecycle marketing, campaign strategy, and personalization. Analyze campaign performance across segments, products, channels, and behaviors. Design test-and-learn frameworks including control groups and post-campaign reviews. Partner with client stakeholders to ensure outputs are practical, explainable, and business-ready.<br>✅ Requirements7–8 years of experience in data science / advanced analytics / consulting. Strong background in banking analytics, especially credit & debit cards. Expertise in marketing analytics, predictive modeling, segmentation, campaign analytics. Proficiency in Python, SAS, SQL with large banking datasets. Solid knowledge of statistical modeling, ML, model validation, performance tracking. Strong communication skills for senior-level presentations & reports. Consulting discipline: structured problem-solving, ownership, timely delivery. Comfortable working as a contractor in Saudi Arabia.<br>???? Preferred Qualifications Based in Egypt (Egyptian) Experience in Egypt banking market. Exposure to card lifecycle analytics (acquisition, activation, usage, spend growth, retention, attrition). Familiarity with CRM, campaign management, marketing automation tools. Experience with A/B testing, uplift modeling, next-best-action, offer optimization, CLV models. Knowledge of cloud-based data platforms & modern analytics environments.<br>???? Apply Now: Send your CV to simmi@hiresquad.in

Black Stone e IT is seeking an experienced and visionary AI Team Lead to oversee and guide our artificial intelligence initiatives. As the AI Team Lead, you will be responsible for leading a team of AI engineers and data scientists to develop innovative AI solutions that drive business growth and enhance user experiences. You will collaborate with cross-functional stakeholders to design and implement cutting-edge AI technologies and ensure successful project delivery.<br><br>Key Responsibilities:<br><br>Lead, mentor, and manage a team of AI engineers and data scientists Design and develop scalable AI models and algorithms tailored to business needs Collaborate with product managers, software developers, and business stakeholders to define AI project requirements Ensure rigorous testing, validation, and deployment of AI solutions Stay current with the latest advancements in AI, machine learning, and data science technologies Establish best practices and standards for AI development within the team Identify opportunities for AI integration to improve products and services<br><br>Requirements<br><br>Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field At least 8 years of experience in AI, machine learning, or data science roles Proven leadership experience managing technical teams Strong proficiency in programming languages such as Python, R, or Java Experience with machine learning frameworks like Tensor Flow, PyTorch, or Scikit-learn Solid understanding of data processing, feature engineering, and statistical modeling Familiarity with cloud platforms (AWS, Azure, or Google Cloud) for AI deployment Excellent problem-solving, analytical, and communication skills Ability to translate complex AI concepts into actionable business solutions<br><br>Benefits<br><br>Paid Time Off Performance Bonus Training & Development

The Cloud Engineer - OCI is responsible for providing advanced technical support and troubleshooting for Oracle Cloud Infrastructure (OCI) environments. The role acts as a key escalation point for complex technical issues raised by Level 1 support engineers, ensuring timely resolution while maintaining high service standards and adherence to operational processes.<br><br>Working closely with customers, internal engineering teams, and Oracle support services, the engineer assists in diagnosing and resolving issues related to cloud infrastructure, networking, security, and platform services. The role also contributes to the development of technical documentation, knowledge sharing across the support team, and the continuous improvement of support processes to enhance service delivery and customer satisfaction.<br><br>Responsibilities:<br><br>Handle escalated technical issues from L1 engineers Provide advanced troubleshooting for OCI services and architectures Create and maintain technical documentation and runbooks Mentor L1 engineers and conduct knowledge transfer sessions Identify patterns in customer issues and propose solutions Collaborate with OCI service teams on complex customer cases Participate in customer Well-Architected Reviews<br><br>Requirements<br><br>Oracle Cloud Infrastructure Certified Architect Professional (required) and one additional OCI certification2+ years of experience with OCI services in another MSP or vendor support role Strong knowledge of networking concepts and security best practices Experience with infrastructure as code (Terraform/Ansible) Proficiency in at least one programming/scripting language (Python, Shell scripting, etc.) Advanced Linux/Windows troubleshooting skills Bachelor's degree in Computer Science or related field Strong problem-solving and analytical abilities Excellent customer service orientation Ability to work in a fast-paced environment Good time management and prioritization skills Team player with strong collaboration abilities

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and design appropriate solutions Work closely with IT and infrastructure teams to deploy and maintain data storage and processing systems, including databases, data warehouses, and cloud infrastructure Design, build, and maintain robust, scalable data pipelines to ingest, process, and transform data from various sources, including internal databases and external APIsOptimize data pipelines for performance, scalability, and reliability, ensuring timely and accurate delivery of data Implement data validation and quality checks to identify and rectify any issues in data pipelines, ensuring data integrity Explore and evaluate new technologies, tools, and frameworks to improve data engineering processes and capabilities Perform data modeling and schema design to support analytical and reporting requirements Design and build data marts and business layers to facilitate efficient data access and analysis<br><br>Requirements<br><br>Bachelor's degree in Computer Science, Information Systems, or other related technical field or equivalent work Proven experience as a Data engineer or similar role, with at least 4 years of experience Advanced SQL knowledge/experience - complex queries and query optimization Proficiency in programming languages such as Python Experienced in the development of data warehouses and proficient in data modeling Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform Experience in building data streams using technologies such as Kafka, Flink, or Spark Streaming is considered a plus Strong problem-solving skills and attention to detail The ability and willingness to learn new technologies on the job Self driven, highly motivated, fast learner, ambitious and creative

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.<br><br>Role Overview:Reviewing AI training problems and research environments built for a frontier AI lab Assessing whether problems are scientifically realistic, well-designed, and correctly graded — not solving them yourself Each task takes 30–90 minute<br>s<br>Requirements:Master's degree, PhD, or 4+ years of professional experience in one or more of the following fields (this is a must have requirement) Mechanical Engineering Materials Science Phylogenetics Computer Science (AI/ML) Knowledge of python programming language. Note: all qualified candidates will go through a background verification process, so please make sure your answers reflect credentials and experience you can document Ability to start immediately Feedback Skills: Ability to provide constructive feedback and detailed annotations. Communication: Excellent structured communication and collaboration skills in a remote setting. Independence: Self-motivated and able to work independently in a remote setting. Technical Setup: Desktop/Laptop set up with a good internet connectio<br>n.<br>Perks of Freelancing With Turing:Work in a fully remote environment Opportunity to work on cutting-edge AI projects with leading LLM companies Potential for contract extension based on performance and project ne<br>eds<br>Offer Details:Engagement type : Contractor assignment/freelancer (no medical/paid le<br>ave)

Role Description This is a full-time, on-site Senior Odoo role based in 6th of October. The Senior Odoo professional will design, develop, and implement Odoo modules and customizations that support core business processes such as sales, inventory, accounting, HR, and operations. Responsibilities include gathering and analyzing business requirements, configuring Odoo applications, writing clean and efficient code, and ensuring system stability and performance. The role involves troubleshooting issues, performing upgrades and integrations with third-party systems, and optimizing workflows to improve efficiency and data accuracy. The Senior Odoo professional will collaborate closely with cross-functional teams, provide user training and documentation, and contribute to ongoing process and system improvements. Qualifications Strong experience with Odoo development and customization, including Python programming and Odoo framework knowledge. Proficiency in configuring and managing core Odoo modules (e.g., Sales, Inventory, Accounting, HR, CRM, Manufacturing). Experience with relational databases (e.g., Postgre SQL), data modeling, and performance optimization. Knowledge of APIs and integration methods to connect Odoo with external systems and services. Solid understanding of business processes in ERP environments and ability to translate requirements into technical solutions. Ability to analyze, troubleshoot, and resolve system and application issues effectively. Strong communication and collaboration skills, with the ability to work with technical and non-technical stakeholders. Experience leading or mentoring junior team members in Odoo or ERP projects is highly beneficial. Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent practical experience). Experience in on-site ERP implementations and user training, preferably within industrial or commercial sectors.

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.<br><br>Role Overview:Reviewing AI training problems and research environments built for a frontier AI lab Assessing whether problems are scientifically realistic, well-designed, and correctly graded — not solving them yourself Each task takes 30–90 minute<br>s<br>Requirements:Master's degree, PhD, or 4+ years of professional experience in one or more of the following fields (this is a must have requirement) Mechanical Engineering Materials Science Phylogenetics Computer Science (AI/ML) Knowledge of python programming language. Note: all qualified candidates will go through a background verification process, so please make sure your answers reflect credentials and experience you can document Ability to start immediately Feedback Skills: Ability to provide constructive feedback and detailed annotations. Communication: Excellent structured communication and collaboration skills in a remote setting. Independence: Self-motivated and able to work independently in a remote setting. Technical Setup: Desktop/Laptop set up with a good internet connectio<br>n.<br>Perks of Freelancing With Turing:Work in a fully remote environment Opportunity to work on cutting-edge AI projects with leading LLM companies Potential for contract extension based on performance and project ne<br>eds<br>Offer Details:Engagement type : Contractor assignment/freelancer (no medical/paid le<br>ave)

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Business insight and decision support: Translate strategic and operational questions into clear analyses, dashboards, reports, and recommendations for leadership and functional teams. KPI and metrics ownership: Define, document, and govern business metrics across fuel consumption, transaction activity, customer adoption, fleet performance, station coverage, invoicing, product usage, savings, churn, and operational efficiency. Dashboard and reporting delivery: Build reliable self-service dashboards for executives, product, sales, finance, operations, customer success, and country or regional teams. Customer and product analytics: Analyze user journeys, feature adoption, customer cohorts, fleet behavior, transaction trends, fuel limits, budget usage, and drop-off points to guide product and growth decisions. Operations and finance analytics: Support reconciliation, invoicing, station performance, wallet movement, service usage, cost analysis, revenue tracking, and profitability insights. Fraud and anomaly insight: Partner with product, operations, and data engineering to identify unusual fuel patterns, tampering indicators, policy exceptions, and monitoring rules that improve trust and control. Experimentation and forecasting: Design analyses for pilots, pricing, campaigns, product launches, and operational changes; support forecasting for consumption, transactions, customer demand, and station utilization. Data storytelling: Present insights clearly, explain trade-offs, quantify impact, and convert analysis into practical recommendations and action plans. Data quality partnership: Work with data engineering to improve source data, metric definitions, documentation, dashboard reliability, and analytics-ready datasets. Analytics mentorship: Set standards for analysis quality, dashboard design, metric governance, and stakeholder communication while mentoring less experienced analysts. Core analytics stack expectations The exact stack may evolve, but the successful candidate should be comfortable operating across the following categories: Analysis: SQL, spreadsheets, Python or R, notebooks, statistical methods, and business case modeling. BI and visualization: Power BI, Tableau, Looker, Metabase, Superset, or equivalent dashboarding tools. Data modeling: dimensional thinking, metric definitions, cohort tables, funnel tables, and curated analytical datasets. Collaboration: requirements gathering, stakeholder workshops, documentation, presentations, and decision memos. Governance: metric catalog, dashboard ownership, access control awareness, and data quality issue management. Product analytics: event data, customer journeys, feature usage, adoption metrics, retention, and conversion analysis. Competitive salary and benefits package. Opportunity to work on cutting-edge technology with a passionate team. Career growth and development opportunities. A collaborative and inclusive work environment.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>5+ years of experience in data analytics, business intelligence, product analytics, revenue analytics, operations analytics, or a similar analytical role.</li><li>Advanced SQL skills with the ability to independently extract, transform, join, validate, and analyze complex data from multiple domains.</li><li>Strong experience building dashboards and data products using Power BI, Tableau, Looker, Metabase, Superset, or similar BI tools.</li><li>Strong understanding of KPI design, metric definitions, funnel analysis, cohort analysis, segmentation, trend analysis, forecasting, and root-cause analysis.</li><li>Ability to convert ambiguous business questions into analytical plans, structured hypotheses, and actionable recommendations.</li><li>Experience working with transactional, product, customer, payment, operational, or financial datasets at scale.</li><li>Working knowledge of Python or R for analysis, automation, statistical exploration, or notebook-based research.</li><li>Excellent stakeholder management and communication skills, including the ability to explain technical findings to non-technical audiences.</li><li>Strong attention to data accuracy, definitions, documentation, and reproducibility.</li><li>Comfort working in fast-paced product and engineering environments with changing priorities and high ownership expectations.</li><li>Experience in fintech, fleet management, logistics, mobility, fuel, marketplace, SaaS, or high-volume transaction businesses.</li><li>Experience with dbt, semantic layers, data catalogs, metric stores, or analytics engineering workflows.</li><li>Familiarity with fraud analytics, anomaly detection, operational controls, pricing analysis, or customer savings measurement.</li><li>Experience with A/B testing, causal inference, retention analysis, churn prediction, LTV modeling, or commercial performance analytics.</li><li>Arabic and English business communication skills are a plus for regional stakeholder engagement.</li></ul><p></p></section>