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Orange Business

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 Job Description
 
 
 
 
 About the role
 
 
 
 Orange is seeking a talented and motivated Data Analyst to join our Digital AI Skills Centers in Egypt. The ideal candidate will be responsible for understanding data needs, collecting and formatting data, storing, processing, and analyzing it to extract actionable insights.
 
 
 
 Key Responsibilities
 
 
 
 Perform advanced data analysis using cutting-edge methods to uncover hidden insights and demonstrate business value.
 
 
 Develop and apply complex statistical models and innovative data visualizations to reveal insights and business value.
 
 
 Present findings in a comprehensible manner and advise management on actionable steps.
 
 
 Create and deliver data-driven products (e.g., automated decision systems, AI-based anomaly detection) and monitor performance through industrialization.
 
 
 
 Qualifications
 
 
 
 
 About you
 
 
 
 Bachelor's degree in Data Science , Computer Science, Statistics, or related fields.
 
 
 A minimum of 5 years of proven experience as a Data Analyst or in a similar role.
 
 
 Proficiency in data analysis tools and software.
 
 
 Strong analytical and problem-solving skills.
 
 
 
 Technical Skills
 
 
 
 Data Ingestion: Ability to understand new data requirements and organize data collection from backend systems, primarily using Elastic.
 
 
 Data Processing: Use relevant data integration techniques to handle data from various sources, such as Dataiku, Logstash, or Python.
 
 
 Data Analysis: Analyze and interpret data to reveal hidden insights and demonstrate business value using the most appropriate data analysis tools.
 
 
 Data Visualization: Present complex datasets using tools like PowerBI , in a way that allows for quick and easy understanding of the main information contained in the data.
 
 
 Flexibility to integrate new technologies as needed
 
 
 Senior Data Analyst, proficient in onboarding new team members.
 
 
 You bring rigor, passion for challenges, and determination. You seek the opportunity to expand your expertise, achieve your goals, and thrive.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>

Data Analyst

Bosta

<div>
 About Bosta:
 
 
 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.
 
 
 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.
 
 
 
 Job Code:
 
 2025DATA-043
 
 
 
 Job Overview:
 
 
 
 As a Senior Data Analyst, you will play a crucial role in extracting insights from complex datasets to inform strategic decision-making and drive business growth. With a keen eye for detail and strong analytical skills, you will transform raw data into actionable insights that empower stakeholders to make informed decisions. This role will have a strong focus on supporting our
 
 Operations and Fleet teams
 
 , helping them to analyze data, uncover insights, and make data-driven decisions.
 
 
 
 Job Responsibilities:
 
 
 
 <ul>
 <li>
 1-SQL Database Management:
 </li>
 <li>
 Build and maintain SQL databases, ensuring data integrity, security, and optimal performance
 </li>
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 Oversee the maintenance of databases and coordinate with data engineers to address any performance issues
 </li>
 <li>
 Optimizing data performance
 </li>
 <li>
 Handling all data extraction requests by creating queries on our SQL database
 </li>
 <li>
 2- Data Extraction and Visualization:
 </li>
 <li>
 Develop and implement efficient data extraction processes from various sources
 </li>
 <li>
 Create visually appealing and insightful data visualizations to effectively communicate findings to stakeholders
 </li>
 <li>
 Apply data visualization best practices to enhance data-driven decision-making across the organization
 </li>
 <li>
 3- Team Collaboration and Support:
 </li>
 <li>
 Collaborate with cross-functional teams to understand business requirements and provide data-driven insights and recommendations
 </li>
 <li>
 Work closely with the Operations and Fleet teams to understand their data needs, analyze operational and fleet data and operations challenges, and provide insights to improve efficiency and decision-making
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 Partner with the planning/performance team
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 4- Additional Duties:
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 Stay updated on emerging trends, tools, and technologies in the field of data analytics
 </li>
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 Foster a data-driven culture within the organization, promoting the use of data for decision-making at all levels
 
 
 
 </li>
 </ul>
 
 Job Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's degree in a relevant field such as Data Science, Statistics, or Computer Science
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 It's preferred to have tech startup experience
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 3-5 Years of experience as a Data Analyst
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 Strong proficiency in SQL database management
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 The ability to use data visualization using tools such as Python, Tableau, or Power BI is a plus
 </li>
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 Advanced knowledge of Python coding for data analytics and automation
 </li>
 <li>
 Strong analytical and problem-solving skills, with the ability to interpret complex data and drive actionable insights
 </li>
 <li>
 Strong business acumen and the ability to translate business requirements into analytical solutions
 
 
 
 </li>
 </ul>
 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.
</div>

Senior Data Analyst

Evalueserve

<div>
 
 
 Elevate Your Impact Through Innovation and Learning:
 
 
 
 Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4,500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work&reg; in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development, work-life balance, and equal opportunity for all.
 
 
 
 
 
 
 About Professional Services and Asset &amp; Wealth Management:
 
 
 
 Evalueserve is a leading global professional services firm specializing in research support. We partner with top companies around the world to provide them with valuable insights, innovative solutions, and strategic guidance that help our clients navigate the complex landscape and maximize their investment outcomes. Our work spans across industries, including finance, healthcare, technology, and more.
 
 
 As a member of the Professional Services &amp; Asset &amp; Wealth Management team, you will have the opportunity to work on exciting projects that shape the future of businesses. You will become an integral part of a dynamic team that leverages cutting-edge technologies, data-driven insights, and deep industry expertise to drive meaningful impact for our clients. You will collaborate with industry experts, thought leaders, and talented colleagues from diverse backgrounds.
 
 
 
 
 
 
 Job Summary:
 
 
 
 We are seeking an experienced senior data analytics professional to support our market research engagements (quantitative and qualitative methods) by transforming raw, multi-source data into accurate, decision-ready insights. The role includes hands-on data processing experience (cleaning, coding, merging, weighting), statistical analysis, and reporting to help our clients answer business questions across brand research, customer insights and segmentation, pricing studies, and market trends (index creation).
 
 
 In addition to delivery, the role provides analytics consulting across the research lifecycle by advising on research design, sample design, questionnaire design, and appropriate statistical methods. The analyst will work closely with the business development and sales teams to support the design of end-to-end primary market research solutions (quant/qual) and participate in proposal development, RFPs, and RFQs.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Collaborate with team members and provide support on quant/qual research design, develop market study design, and analysis plans.
 
 
 &bull; Advise on sample design, representativity, statistical testing strategy, and interpretation of results.
 
 
 &bull; Create and update written materials describing analytic approaches, methods, and processes.
 
 
 &bull; Support survey scripting activities, especially on coding and implementation, partnering with scripting teams to ensure the programmed survey aligns with the questionnaire and the end goals of the research.
 
 
 &bull; Collect, clean, and analyze large datasets from multiple sources, including surveys, ensuring full alignment with the questionnaire and analysis plan.
 
 
 &bull; Analyze qualitative inputs (open-ended questions, interviews/focus group outputs) by developing code frames/taxonomies, synthesizing themes, and quantifying patterns where appropriate.
 
 
 &bull; Apply weighting and sampling adjustments, if needed, and prepare tabulations/crosstabs based on project specifications.
 
 
 &bull; Summarize and profile survey responses through descriptive techniques, such as weighted frequencies, summary statistics, profiling, and trend analysis.
 
 
 &bull; Conduct advanced statistical techniques to uncover relationships and drivers: correlation and regression, driver analysis, segmentation, factor analysis, and conjoint diagnostics.
 
 
 &bull; Apply advanced research methodologies, including conjoint/DCE, MaxDiff, pricing (PSM and Gabor-Granger) studies, needs-based segmentation, NPS or CSAT/CES studies.
 
 
 &bull; Translate findings into clear narratives, charts, dashboards, and recommendations.
 
 
 &bull; Build automations to streamline delivery, reduce manual effort, and improve quality.
 
 
 
 
 
 
 Core Competencies:
 
 
 
 &bull; Strong understanding of survey data structures, questionnaire logic, and common market research outputs.
 
 
 &bull; Ability to select and apply appropriate statistical methods, interpret results, and communicate them to the reporting team or the client.
 
 
 &bull; Good understanding of various quantitative and qualitative methodologies.
 
 
 &bull; Accuracy in data handling, coding, and documentation.
 
 
 Comfortable working in dynamic environments and adapting to evolving technologies and business needs.
 
 
 &bull; Ability to communicate technical concepts clearly and concisely to non-technical audiences, including clients or internal stakeholders.
 
 
 &bull; Strong interpersonal skills to work effectively with cross-functional teams, including data analysts, scientists, and business stakeholders
 
 
 &bull; Proactive in identifying issues and implementing effective solutions
 
 
 
 
 
 
 Required Qualifications:
 
 
 
 &bull; Bachelor&rsquo;s Degree in Statistics, Mathematics, Computer Science, Economics, Sociology, or Marketing.
 
 
 &bull; Minimum of 5+ years of hands-on experience in primary market research and advanced survey analytics.
 
 
 &bull; Proficiency in SPSS, Python, SQL, Excel (Power Query, DAX, and Cube Formulas).
 
 
 
 
 
 
 Preferred Qualifications:
 
 
 
 &bull; Experience with survey scripting platforms (Qualtrics, Forsta, Confirmit) and coding languages (HTML/CSS/JS).
 
 
 &bull; Experience or knowledge of data visualization techniques and data visualizations tools (PowerBI, Tableau).
 
 
 
 
 
 
 Disclaimer:
 
 
 
 &bull; The above job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.
 
 
 
 
 
 
 Please Note:
 
 
 
 &bull; We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we verify your employment, education, and personal details. Please ensure all information is factual and submitted on time. For any assistance, your TA SPOC is available to support you.
 
</div>

Lead Data Analyst

Cemex

<div>
 Cemex Egypt is looking for a highly analytical and detail-oriented HR Data Analytics Specialist to join our team.
 
 
 
 Position Summary
 
 
 
 We are seeking an experienced HR Data Analytics Specialist to transform workforce data into actionable insights that support strategic HR decision-making. This role focuses on analyzing HR metrics, developing interactive dashboards, and delivering data-driven recommendations across areas. The ideal candidate combines strong analytical expertise, advanced reporting skills, and the ability to collaborate effectively with HR, Finance, and business stakeholders to drive informed people strategies.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
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 Perform end-to-end data analysis, including extraction, cleaning, modeling, and interpretation of HR and workforce datasets.
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 Develop and maintain interactive dashboards and reports using Power BI to track HR metrics and trends.
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 Analyze HR metrics such as headcount, turnover, recruitment, absenteeism, and employee demographics.
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 Support Compensation &amp; Benefits analytics, including payroll cost analysis, salary structures, compa-ratio, and merit increase simulations.
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 Conduct trend analysis, variance analysis, and scenario modeling to guide HR decision-making.
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 Partner with HR, Finance, and business stakeholders to translate data into actionable insights and recommendations.
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 Ensure data accuracy, consistency, and governance across HR and workforce datasets.
 </li>
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 Present findings to both technical and non-technical stakeholders in a clear and actionable manner.
 
 
 </li>
 </ul>
 
 Qualifications And Requirements
 
 
 
 <ul>
 <li>
 5&ndash;7 years of experience in data analytics, HR analytics, or a related field.
 </li>
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 Solid understanding of core data analysis concepts and ability to interpret complex data.
 </li>
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 Experience analyzing HR metrics and workforce data; exposure to Compensation &amp; Benefits is a plus.
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 Advanced Excel skills and experience with HRIS or payroll systems.
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 Strong analytical thinking, problem-solving, and critical-thinking skills.
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 Excellent communication and stakeholder management skills.
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 Organized, dependable, and able to thrive in a fast-paced, dynamic environment.
 </li>
 </ul>
</div>

HR Data Analyst

Astek Middle East

<div>
 
 We are looking for a skilled
 
 Data Analyst (SQL, Power BI &amp; Python)
 
 to join our growing team in Cairo. The ideal candidate will be responsible for collecting, analyzing, and interpreting complex datasets to support data-driven business decisions. You will work closely with business stakeholders to translate data into actionable insights and build impactful dashboards.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Extract, clean, and transform data from multiple sources using SQL.
 </li>
 <li>
 Develop advanced SQL queries (joins, subqueries, aggregations).
 </li>
 <li>
 Build interactive dashboards and reports using Power BI.
 </li>
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 Perform statistical and exploratory data analysis using Python (Pandas, NumPy).
 </li>
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 Identify trends, patterns, and business insights from large datasets.
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 Define and monitor KPIs in collaboration with business teams.
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 Ensure data accuracy, integrity, and governance standards.
 </li>
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 Automate recurring reports and optimize reporting workflows.
 </li>
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 Present insights clearly to management and stakeholders.
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 </ul>
 
 
 Requirements
 
 
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Statistics, Mathematics, Engineering, or related field.
 </li>
 </ul>
 
 
 Experience
 
 
 <ul>
 <li>
 5+ years of experience in Data Analysis.
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 Strong hands-on experience with SQL (advanced queries required).
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 Proven experience with Power BI dashboard development.
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 Experience using Python for data analysis.
 </li>
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 Experience working with structured and large datasets.
 </li>
 </ul>
 
 
 Technical Skills (Must Have)
 
 
 <ul>
 <li>
 Advanced SQL (joins, subqueries, CTEs, aggregations).
 </li>
 <li>
 Power BI (DAX, data modeling, dashboard design).
 </li>
 <li>
 Python (Pandas, NumPy, data manipulation).
 </li>
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 Data Cleaning &amp; Transformation.
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 KPI Reporting &amp; Business Intelligence concepts.
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 </ul>
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience with ETL tools.
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 <li>
 Experience in Healthcare, Fintech, or large enterprise environments.
 </li>
 <li>
 Knowledge of data warehousing concepts.
 </li>
 </ul>
 
 
 Soft Skills
 
 
 <ul>
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 Strong analytical mindset.
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 Clear communication and presentation skills.
 </li>
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 Ability to work independently and within cross-functional teams.
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 Attention to detail.
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 </ul>
 
 
</div>

Data Analyst (SQL, Power BI & Python)

PepsiCo

<div>
 
 Overview
 
 
 
 This role will lead data sustain activities and processes making sure that the data is always complete and in good quality, ensure proper data standards. Solve asap all the data issues with involved parties, guide involved parties/stakeholders towards resolution. Acts as the data management expert and the primary point of contact for the Key Users community of the countries using the Prolink solution, providing day to day support, managing periodical training and trubelshooting issues raised by the planners
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Accountable for SC Data Quality KPIs in ESSA (currently 95-98 %) Monitor ESSA Data Quality results: this includes interface monitoring (Dataload Diagnostic tool), measuring live data vs. predefined quality rules (Global Data Quality tool) and facilitating the Product Hierarchy Harmonization process (LRDM - Lookup Reference Data Management)
 </li>
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 Monitor Prolink data quality results from both JDA (Data Error Handling Tool) and the source systems (Global Data quality tool). Follow up with the MUs on the gaps mitigations
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 Act as the key user of GDQ tool, maintain exception list within the tool based on the data supplied by the markets
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 Improve existing DQ solutions through the development of new Data Quality checks
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 Lead/Support defect fixing on JDA Data issues
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 LDRM error solving. Creation of the files to upload to Teradata, management and tracking of the data in Teradata.
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 Creation and modification of necessary locations and mappings in JDA along with their configuration in Teradata
 </li>
 <li>
 Update/Maintain key documents on data processes
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor degree in Business Administration or Information Technology
 </li>
 <li>
 At least 2 years of experience in the required field, min 3-5 years Business experience
 </li>
 <li>
 Fluent in English is a must.
 </li>
 <li>
 Excellent computer skills: Proficient in Excel, MS Access, SQL scripts, Power BI is a must.
 </li>
 <li>
 Knowledge on other tools, databases, ERPs is an asset, e.g. Knime, Alteryx, UI Path, Teradata, Oracle, SAP is a plus.
 </li>
 <li>
 Good Supply Chain knowledge is a must.
 </li>
 <li>
 Resilient, strong analytical skills, systems oriented, drive for results, proactive attitude, strong team player.
 </li>
 <li>
 Excellent communication skills and ability to work with diverse groups of people with varying levels of expertise and backgrounds, across multiple geographies and categories
 </li>
 </ul>
</div>

Data Quality & Master Data Analyst

Envision Employment Solutions

<div>
 
 
 Description
 
 
 
 
 Envision Employment Solutions
 
 is currently looking for a
 
 Data Business Analyst
 
 for one of our partners, a global leader in the IT Services and IT Consulting.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 &bull; Ensure and manage bridging the gap between business stakeholders and technical teams.
 
 
 &bull; Managing the activities of receiving new Requirements and how to translate the Data Business Requirements to Technical Solution through conducting the Data engagement with business and Solution Design and supporting the Product Owners throughout the whole process.
 
 
 &bull; Effectively use the Data Warehouse Tools in fulfilling the Bank&rsquo;s different needs to provide successful and operational solutions. Ensuring all changes and activities are documented accurately and maintained throughout the implementation phases.
 
 
 &bull; Ensure data is handled ethically and all processes are undertaken in compliance with company policy, internal controls, data protection legislation and relevant national / industry standards.
 
 
 &bull; Identify opportunities through which to deliver process efficiency / improvement and develop business proposals through which to communicate and deliver the change.
 
 
 &bull; Build and maintain strong collaborative relationships with senior internal stakeholders, subject matter experts and external clients.
 
 
 &bull; Ensure that the Solution is utilizing the Different Teams Roles and Responsibilities bearing in mind the Strategic approach within the different Teams and the Business
 
 
 &bull; Engage during the testing phase to ensure that everything aligns with expectations. In cases involving technical advancements.
 
 
 
 
 
 
 Requirements
 
 
 
 &bull; Bachelor&rsquo;s degree in Computer Science, Information System or a related field.
 
 
 &bull; 5&ndash;10 years of experience in Business Analysis and Solution Design.
 
 
 &bull; Minimum 3+ years of experience working with Data Warehouse (DWH) environments.
 
 
 &bull; Strong numerical and analytical skills with the ability to interpret complex datasets.
 
 
 &bull; Knowledge of statistical tools and analytical technologies for data analysis and insight generation.
 
 
 &bull; Good understanding of various data tools and end-to-end data flows across systems.
 
 
 &bull; Ability to identify trends, analyze variances, and highlight exceptions, risks, and opportunities to support decision-making.
 
</div>

Data Business Analyst

Explore 415+ Data analyst in Cairo Egypt this March. Find roles across top companies and apply now to boost your career.