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About Bosta:<br><br>Launched in 2017, Bosta is an overnight delivery provider for E-commerce companies in Egypt. Leveraging technology to empower businesses is what we do best. Our goal is to disrupt the logistics industry by bringing technology and experience altogether to provide a one-stop-shop for delivery solutions.<br><br>We rely on advanced technology to deliver orders to our customers in a fast way. Businesses can track and connect with couriers and follow up on their orders - all in one system.<br><br>Job Requirement <br><br>Build and maintain operational dashboards and reports in Metabase, writing and optimizing SQL queries against the operational database. Connect live databases to Google Sheets to power real-time trackers and shared operational views. Own demand planning and replenishment cycles forecasting volumes, setting replenishment triggers, and keeping stock availability aligned with sales demand. Plan and monitor middle-mile operations, including capacity, routing, and cost efficiency. Analyze the full fulfillment flow: inventory, inbound, outbound, RTO, and RTV — surfacing bottlenecks and process gaps. Track and analyze the fulfillment P&L, linking operational KPIs to cost drivers and margin. Partner with operations leadership to translate analysis into actionable plans and process improvements. <br><br><br><br><br>Job Qualifications<br><br>Strong SQL skills, with hands-on experience building reports in Metabase (or a comparable BI tool). Proven ability to link databases with live Google Sheets for operational reporting. Solid understanding of fulfillment operations — inventory, inbound, outbound, RTO, and RTV. Experience with demand planning, replenishment, and middle-mile planning. Ability to read and work with a P&L, connecting operations to financial outcomes. Analytical, detail-oriented, and comfortable working in a fast-paced operational environment. <br><br><br><br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Atos Atos is a global leader in digital transformation with 107,000 employees and annual revenue of over € 11 billion. European number one in cybersecurity, cloud, and high-performance computing, the Group provides tailored end-to-end solutions for all industries in 71 countries. A pioneer in decarbonization services and products, Atos is committed to a secure and decarbonized digital for its clients. Atos is a SE (Societies Europaea), listed on Euronext Paris and included in the CAC 40 ESG and Next 20 Paris Stock indexes. The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education, and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.<br>Position Summary The L1 Support Analyst is responsible for providing first-line support to users, managing incoming incidents and service requests, performing initial troubleshooting, and ensuring issues are appropriately resolved or escalated. The role acts as the first point of contact for users and works closely with L2 and specialist support teams to ensure timely and effective issue resolution. The L1 Support Analyst follows established procedures, uses available knowledge resources, maintains accurate service records, and ensures clear and timely communication with users throughout the support process.<br>Key Responsibilities Provide first-line support and assistance to users across supported business and IT services. Act as the initial point of contact for incidents, service requests, and user queries. Monitor, review, categorize, prioritize, and triage incoming support tickets. Perform basic troubleshooting using documented procedures, knowledge articles, and standard operating procedures. Support basic troubleshooting for web, mobile, CRM, data, and AI-related services. Identify and resolve known issues using established solutions and knowledge articles. Provide users with clear guidance and appropriate workarounds where available. Escalate unresolved, complex, or out-of-scope issues to L2 or relevant specialist teams. Ensure escalated tickets contain accurate troubleshooting information and relevant details. Monitor assigned tickets and follow up to ensure timely progression and resolution. Maintain accurate and complete service records, including actions taken, troubleshooting performed, and resolution details. Communicate clearly and professionally with users and support teams regarding ticket status and next steps. Use monitoring alerts and predefined procedures to identify and respond to service issues. Update and maintain knowledge articles based on recurring issues, known errors, and new resolutions. Follow defined support processes, procedures, escalation paths, and service-level requirements. Contribute to continuous improvement of the L1 support process and knowledge base.<br>Required Skills & Competencies Technical / Service Management Skills Basic troubleshooting skills across web, mobile, CRM, data, and AI services. Experience with ticketing or service management tools. Understanding of first-line ticket triage and categorization. Ability to follow knowledge articles and standard operating procedures. Understanding of known-error handling and standard escalation processes. Basic ability to interpret monitoring alerts and follow predefined response procedures. Good documentation and ticket-management skills. Soft Skills Strong customer service and user-support mindset. Patience and professionalism when assisting users. Clear and effective written and verbal communication. Strong attention to detail. Good organization and time-management skills. Ability to work effectively as part of a support team. Responsive and proactive approach to user issues. Ability to remain calm and structured when handling multiple support requests. Key Accountabilities Provide effective and timely L1 support. Ensure accurate ticket triage, categorization, and prioritization. Resolve basic and known issues within the scope of L1 support. Escalate issues appropriately and in a timely manner. Maintain accurate and complete support documentation. Keep users informed about ticket progress and resolution. Contribute to the quality and continuous improvement of the knowledge base. Follow agreed support processes and service-level expectations.<br>Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all. Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment. Choose your future. Choose Atos.

Position Summary:<br>The FP&A Specialist supports core budgeting, forecasting, financial modeling, and variance analysis to drive data-informed business decisions. This role acts as a bridge between operational data and financial performance, analyzing key drivers, preparing monthly reporting packages, and supporting annual planning cycles.<br>Key Responsibilities:<br>Financial Planning & Budgeting Assist in preparing annual operating budgets, quarterly forecasts, and long-term financial plans. Partner with department heads to collect operational metrics, headcount projections, and expenditure forecasts. Maintain dynamic financial models in Excel to evaluate profitability and operational efficiency.<br>Reporting & Variance Analysis Prepare monthly, quarterly, and annual reporting packages comparing actual performance against budget and historical trends. Conduct line-item variance analysis for Revenues, COGS, and OPEX; identify root causes and highlight key drivers. Track key performance indicators (KPIs) and operational metrics across departments.<br>Decision Support & Business Partnering Build scenario analyses and ad-hoc financial models for capital expenditures, pricing decisions, and cost-saving initiatives. Support capital expenditure (Cap Ex) tracking and ROI analyses. Collaborate with accounting teams during month-end close to ensure accurate accruals and revenue recognition.<br>Job Requirements: <br>Education: Bachelor’s degree in Finance, Accounting, Economics, or a related field. Experience: 1–2 years of experience in financial analysis, corporate finance, or public accounting. Advanced Proficiency in Microsoft Excel (nested formulas, Pivot Tables, INDEX/MATCH, XLOOKUP, financial modeling). Familiarity with ERP systems. Strong quantitative and analytical acumen with high attention to detail. Basic understanding of financial statements (P&L, Balance Sheet, Cash Flow) and accounting concepts.

Job Title Finance FP&A Specialist Department Finance Reports ToFP&A Manager / Finance Manager Job Purpose Support financial planning, budgeting, forecasting, and business performance analysis by providing accurate financial insights, supporting decision-making, and ensuring effective financial reporting within a pharmaceutical manufacturing environment. Key Roles & Responsibilities Prepare annual budgets, quarterly forecasts, and long-range financial plans. Analyze monthly financial performance and explain budget variances. Develop financial models and profitability analyses. Support product costing, pricing, and margin analysis. Monitor operational KPIs and provide performance insights. Prepare management reports and financial dashboards. Support business cases for new products and capital investments. Collaborate with Manufacturing, Supply Chain, Sales, and Procurement on financial planning. Ensure data accuracy within ERP and financial reporting systems. Participate in month-end closing and financial review activities. Recommend opportunities for cost optimization and process improvement. Ensure compliance with company financial policies and internal controls. Qualifications Bachelor's degree in Accounting, Finance, Economics, or Business Administration. CMA, CFA, ACCA, or MBA is an advantage. Experience3–5 years of experience in Financial Planning & Analysis, Finance, or Management Accounting. Experience in pharmaceutical manufacturing is preferred. Experience with ERP systems (SAP preferred) and advanced Excel.

Job Summary We are looking for an FP&A Specialist to join our Finance team. In this role, you will support budgeting, forecasting, financial reporting, and business analysis. You will work with different departments to provide financial insights, help improve business performance, and support key business decisions.<br>Key Responsibilities Prepare monthly financial and management reports. Analyze actual financial results against budget, forecast, and prior-year performance. Conduct variance analysis and identify key business drivers. Support the annual budgeting and forecasting processes. Prepare financial forecasts and update planning assumptions. Monitor sales, gross margin, operating expenses, and profitability. Support cash flow planning and working capital analysis. Collaborate with cross-functional teams to collect, validate, and analyze financial data. Develop dashboards and management reports using Microsoft Excel and other reporting tools. Support month-end closing and management reporting activities.<br>Qualifications Bachelor's degree in accounting, Finance, or a related field.2–3 years of experience in Financial Planning & Analysis (FP&A), Financial Analysis, Management Accounting, or a similar role. Strong knowledge of financial analysis and accounting principles. Good understanding of budgeting, forecasting, and variance analysis. Advanced proficiency in Microsoft Excel. Experience with ERP systems; SAP experience is preferred. Strong analytical and problem-solving skills. Excellent communication and stakeholder management skills. Ability to manage multiple priorities and meet deadlines in a fast-paced environment.

We are looking for an experienced Senior WFM Analyst to lead our capacity planning, forecasting, and scheduling strategy. In this role, you will analyze contact volume trends, optimize staffing levels, and drive operational efficiency to support multi-channel customer service operations. Key Responsibilities Develop, refine, and maintain long-term and short-term forecasting models for volume, handling times, and shrinkage. Lead end-to-end capacity planning to align staffing resources with operational demand and service level targets. Administer, build, and maintain schedules and rosters within NICE IEX. Perform real-time intra-day management and post-operational analysis to identify trends and variance drivers. Partner with operational leaders and HR to provide actionable workforce insights and hiring recommendations. Requirements Experience: Minimum 2+ years of hands-on experience in Workforce Management roles. Tool Expertise: Advanced working knowledge and hands-on experience with NICE IEX is mandatory. Core proficiency in volume forecasting, capacity planning, and scheduling methodologies. Strong analytical, data visualization, and problem-solving skills (advanced Excel/SQL preferred).<br>Perks & Benefits Hybrid work model. Company-provided transportation. Medical and social insurance

Role Purpose, Key Responsibilities & Duties: The AI Engineer plays a key role in leveraging artificial intelligence (AI) and automation technologies to enhance business differentiating value propositions, processes, operational efficiency, and data-driven decision-making. The AI Engineer identifies opportunities for the implementation of AI and automation solutions, designs and develops applications, tools, and automated workflows to ensure the successful monetization, adoption, and integration of these technologies to drive growth and innovation posture. Collaborate with various stakeholders to understand requirements to design, develop and operation AI and automation business tailored capabilities and solutions. Create detailed business technical specifications and architectural designs for the implementation of the AI and automated business processes. Develop and implement AI algorithms, machine learning models, and automation scripts to address business needs and derive tangible value. Integrate AI and automation solutions with business processes, digital capabilities, systems and workflows. Conduct testing and validation of AI and automation solutions to ensure accuracy, reliability, responsibility and adherence to business requirements. Establish monitoring mechanisms to track the performance of implemented AI and automation solutions and capabilities for continuous assessment and improvements. Collaborate with cross-functional teams, including IT, business analysts, and end-users, to ensure alignment with business goals and organizational outcomes.<br>Key Competencies & Skills:✓ Proficiency in programming languages such as Python, R, or Java.✓ Strong data analysis skills for assessing, cleaning, and preparing data for AI and automation processes.✓ Ability to design AI and automation solutions tailored to specific business requirements.✓ Proficient in coding and scripting for the development and implementation of automation workflows.✓ Experience in testing and validating AI and automation solutions for accuracy and reliability.✓ Knowledge of integrating AI and automation solutions with existing systems and workflows.✓ Good communication skills to interact with cross-functional teams, stakeholders, and vendors.✓ A mindset for continuous learning to stay updated on emerging AI and automation technologies. Academic Education & Professional Certifications Operational & Managerial Experience:− Bachelor's degree in computer science, Data Science, or equivalent in a technology related discipline.− 3 to 4 years of experience with AI technologies, machine learning algorithms, and automation tools inside a Company.− RPA Developer, AI and Machine Learning, PMP (Project Management Professional) certifications preferred.− English proficiency is a must.− Artificial Intelligence technologies and algorithms, and proficiency in operating systems • Programming languages and networking fundamentals is essential.− Platforms and enterprise mobile applications on various operating systems, Java/XML, and HTML. If you're ready to make a significant impact and help shape a data-first culture, we want to hear from you.

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

Prepare annual budgets and forecasts for the next few months. Ensure you make term plans for finances. Ensure you keep track of models for money coming in and going out and to see if we are making a profit. Support in making budgets for all parts of the business. Analyze monthly financial performance against budget. Compare it to the forecast for the next year. Conduct variance analysis and determine key business drivers. Monitor Key performance indicators and provide actionable recommendations. Evaluate business performance by product category, line of business, and department. Produce monthly financial reporting, summarizing the financial performance to date and providing explanations of key variances. Develop dashboards and executive presentations highlighting financial performance. Ensure timely and accurate reporting for senior management. Work closely with different sections, such as commercial, operations, supply chain, marketing, HR, and Retail Teams. Participate in setting financial analysis and align your work with the strategic objectives to ensure achieving B. Tech’s Corporate goals. Analyze the month-end financial position, investigate variances, and make appropriate adjustments, if necessary, in line with internal procedures and managers.

We're Hiring: WFM Scheduling Analyst II (BPO Industry experience is a MUST)<br>The WFM Scheduling Analyst will be responsible for the schedules of the employees in the company, essentially for those who are working as Operations Customer Experts. As the workflow in the company changes in a daily and weekly period, it's important to know which employees are available to work, and which skills must they choose, the best work schedule, and the best workplace for each one. The main goal is to maximize the productivity of the company and the employees’ satisfaction.<br>Required Qualifications• Graduate• Fluency in English.• 2 to 5 years on Contact Center’s and shared services for international markets and/or relateindustries.• Working knowledge of Microsoft Office Suite (Highly skilled in MS Excel).• Analytical ability.• Flexibility.• Planning C Organizing.• Problem solving.• Time management.<br>Key Responsibilities Automatic allocation of schedules to Operations Customer Ex in order to ensure operational service levels, to meet legal requirements and achieve resource optimization. Analyze requirements about how many employees are needed for each workplace. Discuss the working schedules of employees with managers. Provide help with the updating of databases with relevant information about employees. Create and validate working schedules, assuring support in solving schedule deviations; elaboration of permanent schedules; Customer Services Representatives selection for new projects training and for on-going projects. Schedule employees for training programs in case the company selects employees for a workplace that requires new skills and knowledge. Interact with other departments in order to improve or maximize the project(s) results. Be an active part of the process of continuous improvement, proposing improvement and innovation methods across the department and the company (producing fresh and imaginative ideas and solutions). Communicate any known infractions of the Corporate Policies and procedures to Teleperformance Management immediately.

Job Title Finance FP&A Specialist Department Finance Reports ToFP&A Manager / Finance Manager Job Purpose Support financial planning, budgeting, forecasting, and business performance analysis by providing accurate financial insights, supporting decision-making, and ensuring effective financial reporting within a pharmaceutical manufacturing environment. Key Roles & Responsibilities Prepare annual budgets, quarterly forecasts, and long-range financial plans. Analyze monthly financial performance and explain budget variances. Develop financial models and profitability analyses. Support product costing, pricing, and margin analysis. Monitor operational KPIs and provide performance insights. Prepare management reports and financial dashboards. Support business cases for new products and capital investments. Collaborate with Manufacturing, Supply Chain, Sales, and Procurement on financial planning. Ensure data accuracy within ERP and financial reporting systems. Participate in month-end closing and financial review activities. Recommend opportunities for cost optimization and process improvement. Ensure compliance with company financial policies and internal controls. Qualifications Bachelor's degree in Accounting, Finance, Economics, or Business Administration. CMA, CFA, ACCA, or MBA is an advantage. Experience3–5 years of experience in Financial Planning & Analysis, Finance, or Management Accounting. Experience in pharmaceutical manufacturing is preferred. Experience with ERP systems (SAP preferred) and advanced Excel.

Job Summary:<br>Primarily responsible for preparing corporate financial analysis and supporting regional managers and the general manager in drafting credit proposals. Managing daily banking and operational transactions for portfolio accounts, and interfacing directly with corporate clients as well as internal bank departments<br> Job Responsibilities:Preparing comprehensive credit studies and risk proposals for both new and existing corporate clients. Ensuring all mandatory client paperwork, financial statements, and legal documents are complete and accurate. Assisting in executing and managing daily banking transactions for the assigned corporate credit portfolio. Preparing and submitting periodic performance reports to monitor and analyze portfolio health and credit exposure. Tracking and following up on daily account activities with supporting and back-office bank departments. Implementing approved credit resolutions, while drafting detailed client site-visit reports and regular updates. Job Qualifications:Bachelor’s degree in Commerce, Accounting, Finance, Investment, or a related field. Completion of Corporate Credit Finance Professional Certificate. Minimum 6 months to 4 years of experience in the banking sector, preferably in corporate credit. Proven ability to analyze complex financial data and evaluate credit and operational risks. Strong understanding of core accounting principles, financial statements, and corporate finance concepts.

Company Description Cretik is a digital innovation company specializing in software and mobile app development, UI/UX design, website development, and e-commerce solutions. The team crafts tailored products that exceed industry standards and help clients gain a strong competitive edge. Cretik focuses on intuitive, visually compelling interfaces and high-performance, responsive websites that engage users and support business growth. Its e-commerce platforms are designed to drive sales and expand market reach, enabling clients to succeed in the online marketplace. By combining creativity with technical expertise, Cretik helps brands lead in the digital world. Role Description The Senior Data Analyst is a full-time, remote role responsible for transforming complex data into clear insights that support strategic and operational decisions. In this position, the analyst will collect, clean, and validate data from multiple sources, build and maintain dashboards, and perform exploratory and advanced data analysis. The role includes developing data models, applying statistical methods, and generating reports that inform product, marketing, and business performance. The Senior Data Analyst will collaborate with cross-functional teams to define key metrics, communicate findings in a clear and actionable way, and recommend data-driven improvements. This role also involves mentoring junior analysts, helping evolve analytics best practices, and supporting the implementation of new data tools and processes. Qualifications Strong analytical skills and experience in data analytics to interpret complex datasets and derive actionable insights. Proficiency in statistics, including hypothesis testing, regression, and descriptive analytics to support evidence-based decision-making. Hands-on experience with data modeling, including designing and maintaining data structures and pipelines for reporting and analysis. Excellent communication skills to present findings to technical and non-technical stakeholders and translate data insights into clear recommendations. Advanced skills in SQL and at least one analytics or scripting language (e.g., Python, R) and familiarity with BI tools (e.g., Power BI, Tableau, Looker). Experience working with large or complex datasets, including data from digital products, web analytics, or e-commerce platforms. Proven ability to work independently in a remote environment, manage multiple priorities, and meet deadlines in a fast-paced setting. Bachelor’s or Master’s degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, or related discipline. Background in technology, software, or digital product companies is a plus, along with experience supporting product and UX teams with data.

Egybell is hiring a Junior Financial Analyst for a well-known company located in 5th Settlement<br>Requirements:Assist in analysing financial data and preparing reports to support decision-making processes. Manage and maintain data sheets, ensuring accuracy and completeness. Utilize Power BI for data visualization and reporting purposes. Work with ERP systems (SAP, ARIBA and YARDI) to extract, update, and validate financial information. Perform data queries and generate insights to identify trends and discrepancies. Support month-end and year-end closing activities. Ensure compliance with organizational and regulatory requirements related to data handling. Collaborate with team members to improve data management and reporting processes.<br>Qualifications:1 year of experience in Real Estate sector or similar Excellent in Microsoft Excel, power point and Power PI. Strong understanding of setting up and organizing database and spread sheets. Excellent command of English.

Position: AI Quality Analyst (Romanian) Type: Hourly contract Compensation: $11.5-$15.3/hour Location: Remote Commitment: 30 40 hours/week<br>Role Responsibilities Evaluate AI model responses for personalization quality, including grounding, integration, and helpfulness. Design and execute multi-turn prompts based on personal context to test AI capabilities. Analyze responses for hallucinations, incorrect personalization, and poor inferences. Perform side-by-side comparison of model outputs to determine quality and effectiveness. Write clear and structured rationales for response evaluations and rankings. Extract and verify debug information to ensure proper use of data sources. Maintain strict data hygiene and ensure accurate documentation of evaluations. Collaborate with cross-functional teams to improve AI model performance.<br>Requirements Strong proficiency in Romanian with excellent reading and writing skills. Experience in data annotation, AI evaluation, content moderation, or a related role. Strong analytical thinking and ability to assess nuanced AI responses. Ability to design creative, multi-turn prompts based on personal context. Understanding of personalization concepts, including identifying incorrect or forced personalization. High attention to detail in evaluating subtle differences in model outputs. Excellent written communication and structured reasoning skills. Ability to work independently in a remote environment. Willingness to use a personal Google account for evaluation purposes. Full-time availability with at least 4 hours overlap with PST. Bachelor s degree or equivalent experience in a relevant analytical field.<br>Application Process Apply/Easy Apply and check email for application form Fill Google form Assessment Link (After shortlisting to be completed within 24 hours) Language vetting<br><br>Skills: quality analyst, LLM

Position: AI Quality Analyst (Bulgarian) Type: Hourly contract Compensation: $11.5 - $15.3/hour Location: Remote Commitment: 30-40 hours/week<br>Role Responsibilities Evaluate AI model responses for personalization quality, including grounding, integration, and helpfulness. Design and execute multi-turn prompts based on personal context to test AI capabilities. Analyze responses for hallucinations, incorrect personalization, and poor inferences. Perform side-by-side comparison of model outputs to determine quality and effectiveness. Write clear and structured rationales for response evaluations and rankings. Extract and verify debug information to ensure proper use of data sources. Maintain strict data hygiene and ensure accurate documentation of evaluations. Collaborate with cross-functional teams to improve AI model performance.<br>Requirements Strong proficiency in Bulgarian with excellent reading and writing skills. Experience in data annotation, AI evaluation, content moderation, or a related role. Strong analytical thinking and ability to assess nuanced AI responses. Ability to design creative, multi-turn prompts based on personal context. Understanding of personalization concepts, including identifying incorrect or forced personalization. High attention to detail in evaluating subtle differences in model outputs. Excellent written communication and structured reasoning skills. Ability to work independently in a remote environment. Willingness to use a personal Google account for evaluation purposes. Full-time availability with at least 4 hours overlap with PST. Bachelor s degree or equivalent experience in a relevant analytical field.<br>Application Process Apply/Easy Apply and check email for application form Fill Google form Assessment Link (After shortlisting to be completed within 24 hours) Language vetting<br><br>Skills: quality analyst, LLM

Dubizzle Egypt is the leading marketplace for selling and buying online in the region. Our aim is to upgrade people's lives by facilitating deals and identifying attractive opportunities for both individuals and businesses. Our goal is to strengthen local economies, empower small businesses, and help everyone in making smarter choices for themselves, the market, and the planet.<br><br>As part of Dubizzle Group, we are alongside some of the strongest classifieds brands in the market. With a collective strength of 8 brands, we have more than 160 million monthly users that trust in our dedication to providing them with the best platform for their needs.<br><br>As part of Dubizzle Group, we are alongside some of the strongest classifieds brands in the market. With a collective strength of 8 brands, we have more than 160 million monthly users that trust in our dedication to providing them with the best platform for their needs.<br><br>Key Responsibilities:<br><br>Monitor and analyse competitive business models and provide recommendations to strengthen our position Collaborate with cross-functional partners in product, engineering, operations, finance, and marketing to help develop data-informed business strategies and roadmaps Work closely with product managers to enhance the product offerings and experiment with pricing and new products Manage self-service tools for end-users across the company to explore a wide variety of data with little assistance Monitor and analyse the platform's traffic, highlighting the gaps and working on solutions Present models, findings and insights to senior management in order to drive business decisions Provide objective recommendations on business strategy, monetisation, and operation Partner with the finance team in developing budgets, forecasts, and ad hoc analyses that are informed by data-driven insights and operating metrics Manage and own the P&L of the automotive vertical Continuously manage all launched propositions and products, handling the pre-analysis and post-assessments Responsible for all online/offline products & packages pricing schemes Own and develop relationships with business partners, working with them to optimise and enhance our integration Develop and present management reviews to the top management<br><br><br>Requirements<br><br>Qualifications:<br><br>Bachelor's degree in Computer Science, Business or Marketing A master's degree is a plus<br><br><br>Experience:<br><br>4-5 years of work experience in strategy/business analytics/sales enabler role, having closely worked with products in an internet/e-commerce company Experience in e-commerce, internet and/or digital media Experience with Google Analytics is required<br><br><br>Knowledge:<br><br>Proficient in Microsoft Excel Knowledge of SQL is a plus<br><br><br>Skills:<br><br>Ability to crunch heavy data, build insights and drive operational decision-making Excellent analytical skills with a demonstrated ability to translate data and information into actionable insights and business recommendations Exceptional project management skills and attention to detail Excellent stakeholder management and communication skills<br><br><br>Traits:<br><br>Proactive and passionate You are independently capable of seeking information, solving conceptual problems and delivering high-quality results in challenging situations Passion for data and metrics Outstanding analytical capacity paired with a profound business sense Hands-on attitude and the ability to thrive in a fast-paced environment Highly motivated, professional, creative, proactive and able to work independently and cooperatively in a diverse group<br><br><br>Benefits<br><br>A fast paced, high performing team Comprehensive Health Insurance Life Insurance Rewards & Recognitions Learning & Development opportunities <br><br><br>#Egyptdubizzle

Key Responsibilities* Analyze business data to identify trends, risks, and opportunities.* Develop financial and operational forecasts, including sales, demand, and budgets.* Support annual and long-term strategic planning.* Monitor and report on KPIs and business performance metrics.* Prepare dashboards, reports, and presentations for management.* Conduct market and competitor analysis.* Recommend process improvements and cost optimization strategies.* Collaborate with Finance, Operations, Marketing, and other departments.* Assist in budgeting and financial planning activities.* Ensure data accuracy and consistency across reports.<br>Requirements* Bachelor’s degree in Business Administration, Finance, or any related field.* 2–5 years of experience in:* Business Analysis* Financial Planning & Analysis (FP&A)* Strategic Planning* Or similar roles* Strong analytical and problem-solving skills.* Good understanding of business and financial concepts.* Good knowledge of data analysis techniques.* Excellent communication and presentation skills.

Teleperformance is Hiring: WFM Analyst L2Are you passionate about workforce planning, data analysis, and process improvement? Join Teleperformance and help drive operational excellence through workforce optimization and innovation. What You'll Do:• Analyze workforce data and identify trends to improve efficiency• Develop recommendations to optimize workforce planning and resource utilization• Collaborate with Operations, HR, and IT teams to implement WFM strategies• Drive automation, standardization, and continuous process improvement• Support and train teams on WFM tools and best practices• Monitor performance and contribute to business improvement initiatives• Ensure compliance with company policies and information security standards What We're Looking For:• 2–5 years of experience in Workforce Management, project management, or process improvement in BPO Industry• Bachelor's degree• English level: B2 or above• Hands-on experience working with Alvaria and/or Aspect WFM tools• Strong analytical and problem-solving skills• Proficiency in Microsoft Excel, Word, and Outlook• Experience with SQL, BI tools, or Workforce Management software is a plus• Excellent communication and stakeholder management skills• Ability to work in a fast-paced, data-driven environment What We Offer:• Competitive salary package• Medical and social insurance• Transportation provided• Career growth and development opportunities• Dynamic international work environment

Job Summary<br>The WFM Analyst L2 is responsible for optimizing workforce management processes through data analysis, automation, process standardization, and continuous improvement initiatives. This role partners closely with Operations, HR, IT, and other stakeholders to enhance workforce planning, improve operational efficiency, and support the implementation of WFM solutions. The ideal candidate is analytical, detail-oriented, and passionate about driving innovation through data and technology.<br>Key Responsibilities<br>Data & Trend Analysis: Analyze historical and real-time workforce data to identify trends, generate actionable insights, and recommend strategies to improve operational efficiency and resource utilization. Process Optimization: Develop, maintain, and optimize workforce planning processes to ensure operational effectiveness and service level achievement. Cross-Functional Collaboration: Collaborate with Operations, HR, IT, and cross-functional teams to implement Workforce Management tools, automation initiatives, and process enhancements. Continuous Improvement: Drive continuous improvement by identifying opportunities to optimize workflows, standardize processes, and increase productivity. Systems Implementation: Support the implementation of new WFM systems, technologies, and best practices while ensuring smooth adoption across teams. Training & Support: Deliver training and ongoing support to stakeholders on Workforce Management systems, reporting tools, and operational best practices. Performance Monitoring: Monitor workforce performance metrics and provide regular reports, dashboards, and recommendations to support business decisions. Project Management: Participate actively in project management and implementation activities related to workforce optimization initiatives. Strategic Collaboration: Foster collaboration across departments to maximize business performance and achieve operational objectives. Innovation: Contribute innovative ideas and solutions that enhance departmental processes and support organizational growth. Policy & Compliance: Ensure full compliance with Teleperformance policies, procedures, and global standards, including but not limited to:GDPR (General Data Protection Regulation) GISP (Global Information Security Policies) Information Security Standards (ISS) Corporate Social Responsibility (CSR) Health & Safety policies Incident Reporting: Promptly report any known violations of company policies or compliance standards to management. Additional Duties: Perform additional duties and responsibilities as assigned.<br>Qualifications<br>Education Bachelor's degree in Business Administration, Engineering, Information Systems, Statistics, Mathematics, Computer Science, or a related field is preferred.<br>Experience2–5 years of experience in Workforce Management, Project Management, Business Analysis, Process Improvement, or related operational roles. Experience supporting WFM implementation projects or workforce optimization initiatives is highly desirable. Experience working within BPO, customer service, or shared services environments is considered an advantage.<br>Technical Skills Advanced proficiency in Microsoft Excel, including Pivot Tables, Power Query, advanced formulas, and data analysis. Proficiency in Microsoft Word, Outlook, and Power Point. Knowledge of SQL (Structured Query Language) for data extraction and analysis is preferred. Experience with Business Intelligence tools such as Power BI, Tableau, or Looker is an advantage. Familiarity with Workforce Management platforms (e.g., NICE IEX, Verint, Genesys WFM, Calabrio, Aspect, or similar solutions) is a plus.<br>Language Requirements English proficiency at B2 level or higher (written and spoken).<br>Core Competencies Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Project management and organizational skills. Ability to manage multiple priorities in a fast-paced environment. Process improvement and continuous improvement mindset. Strong attention to detail and data accuracy. Ability to work collaboratively across cross-functional teams. Adaptability and willingness to embrace new technologies and methodologies. High level of integrity and commitment to data confidentiality and compliance.<br>Preferred Certifications:<br>The following certifications are considered an advantage:Lean Six Sigma (Yellow Belt or Green Belt) Project Management certification (PMP, PRINCE2, or equivalent) Microsoft Power BI Certification SQL Certification Workforce Management-related certifications (where applicable)