data business analyst

data engineer

data engineer (m/f/d)

data engineer (m/w/d)

digital data analyst

Dkhoon Emirates

<div>
 
 
 Job Title:
 
 Data Analyst
 
 
 
 Location:
 
 Cairo, Egypt
 
 
 
 
 
 
 Job Summary:
 
 
 
 We are looking for a skilled Data Analyst to join our team in Egypt. The successful candidate will be responsible for analyzing data, generating reports, and providing insights to support strategic and operational decision-making.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 
 <li>
 Collect, organize, and analyze data from multiple sources.
 </li>
 
 <li>
 Develop reports and dashboards using Excel, Power BI, or similar tools.
 </li>
 
 <li>
 Interpret data trends and provide actionable business insights.
 </li>
 
 <li>
 Monitor KPIs and performance metrics.
 </li>
 
 <li>
 Ensure data accuracy and integrity.
 </li>
 
 <li>
 Support management with ad-hoc reports and analysis.
 </li>
 
 <li>
 Collaborate with different departments to understand reporting needs.
 </li>
 
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 
 <li>
 Bachelor&rsquo;s degree in Statistics, Computer Science, Business Administration, or related field.
 </li>
 
 <li>
 2&ndash;4 years of experience in data analysis (Egypt market preferred).
 </li>
 
 <li>
 Strong knowledge of SQL and Microsoft Excel.
 </li>
 
 <li>
 Experience with Power BI or Tableau.
 </li>
 
 <li>
 Basic knowledge of Python is a plus.
 </li>
 </ul>
</div>

Data Analysis

<div>
 
 About The Role &amp; Team
 
 
 
 IDC is seeking a Data Analyst to join the consumer devices group.  In this role, you will have the opportunity to work on several of IDC's consumer device programs, including smartphones. The ideal candidate will be responsible for conducting comprehensive market research, analyzing data, and providing actionable insights to support our business strategies. The candidate should be able to demonstrate the ability to interpret complex data, identify patterns, and draw meaningful insights by evaluating data from various sources, making sense of quantitative and qualitative information, and providing actionable recommendations.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Sales, trends, and market conditions.
 </li>
 <li>
 Develop, expand and maintain a network of contacts of key channel partners and vendors.
 </li>
 <li>
 Monitor and evaluate competitor products, pricing strategies, and market positioning.
 </li>
 <li>
 Ensure the timely and accurate delivery of all program deliverables.
 </li>
 <li>
 Prepare detailed reports and presentations to communicate findings to stakeholders.
 </li>
 <li>
 Develop market forecasts and predictive models by utilizing statistical methods and tools to anticipate future trends and consumer behavior.
 </li>
 <li>
 Maintain and update databases with relevant market data and research findings.
 </li>
 <li>
 Collaborate with cross-functional teams to develop customized vendor and market models. Including the consulting team to support custom projects when required.
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 2+ years of market research experience or consumer device industry experience such as smartphones, vendors or distributors
 </li>
 <li>
 Bachelor's degree or equivalent experience in Finance, Economics, or Statistics with a strong understanding of economic principles and their application to market analysis.
 </li>
 <li>
 Capable of designing and conducting primary research, including creating surveys, conducting interviews, and managing focus groups.
 </li>
 <li>
 Skilled in analyzing complex datasets and developing predictive models, with familiarity in statistical tools and methodologies.
 </li>
 <li>
 High level of accuracy and attention to detail in data analysis and report preparation.
 </li>
 <li>
 Strong English written and verbal communication skills to effectively present .
 </li>
 <li>
 Efficient in managing multiple research projects and meeting deadlines. Excellent in problem-solving.
 </li>
 <li>
 Advanced Microsoft Excel, PowerPoint and Power BI skills required.
 </li>
 <li>
 Familiarity with GenAI tools such as Microsoft Copilot, OpenAI, or Gemini.
 </li>
 <li>
 Preferably the ability to use Python, R and other programs for data analysis, including libraries such as Pandas, NumPy, SciPy and Plotly.
 
 
 </li>
 </ul>
 
 Why This Role Stands Out
 
 
 
 At IDC, your work helps shape how the world understands technology and where it goes next. You collaborate with curious, high-caliber colleagues who value rigor, integrity, and shared success. As the premier global provider of trusted technology intelligence, IDC equips business and technology leaders with the evidence they need to make confident decisions. Our insights inform strategy, investment, and innovation across industries and regions.
 
 
 Recognized by IIAR as Analyst Firm of the Year for five consecutive years, IDC sets the standard for credibility and impact. With more than 1,000 analysts worldwide and a truly global perspective, we combine deep expertise with practical relevance. Here, your ideas matter, your voice is heard, and your contributions provide the insights leaders rely on every day. It is meaningful work, backed by a culture that supports growth, collaboration, and long-term career development with a globally respected brand.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 A permanent, full-time position with a hybrid working module
 </li>
 <li>
 A benefit package to complete your salary
 </li>
 <li>
 Individualized Culture: An environment where you can explore new areas outside your specialty and stay engaged with work you enjoy.
 </li>
 <li>
 A position in a highly professional and globally respected market research and advisory firm, where initiative leading to results is rewarded
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 IDC is committed to providing equal employment opportunities for all qualified persons. Employment eligibility verification required. We participate in E-Verify .
 
 
</div>

Data Analyst

Capgemini

<div>
 Long Description
 
 
 
 About Capgemini
 
 
 
 Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society.
 
 
 <ul>
 <li>
 Global Presence: 340,000 team members in more than 50 countries
 </li>
 <li>
 Heritage: Over 55 years of trusted expertise
 </li>
 <li>
 Services: End-to-end solutions from strategy and design to engineering
 </li>
 <li>
 Core Capabilities: AI, Generative AI, Cloud, Data, and deep industry expertise
 </li>
 <li>
 2024 Global Revenue: &euro;22.1 billion
 
 
 </li>
 </ul>
 
 Position: Data Streaming Engineer
 
 
 
 As a
 
 Data Streaming Engineer
 
 , you will build and maintain robust, scalable Kubernetes-based event streaming platforms. You will ensure reliability and efficiency in production and development environments, enabling smooth deployments and accurate event reporting.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Kubernetes Infrastructure Management
 </li>
 <li>
 Design, provision, and maintain Kubernetes clusters across cloud, on-premises, and hybrid environments
 </li>
 <li>
 Monitor cluster performance and optimize resource utilization
 </li>
 <li>
 Troubleshoot issues and implement solutions to ensure high availability and stability
 </li>
 <li>
 Splunk Operations &amp; Engineering
 </li>
 <li>
 Manage Splunk infrastructure (indexers, search heads)
 </li>
 <li>
 Troubleshoot ingestion issues, latency, and indexing delays
 </li>
 <li>
 Develop and maintain SPL queries, saved searches, alerts, and dashboards
 </li>
 <li>
 Perform capacity planning, performance tuning, and upgrade planning
 </li>
 <li>
 Implement data onboarding strategies and field extractions for new log sources
 </li>
 <li>
 Cribl Pipeline Management
 </li>
 <li>
 (Preferred) Experience with Cribl
 </li>
 <li>
 Design, build, and optimize Cribl pipelines for log routing, transformation, filtering, and enrichment
 </li>
 <li>
 Integrate Cribl with various data sources and destinations
 </li>
 <li>
 Automate pipeline deployments and configuration using CI/CD and GitOps practices
 </li>
 <li>
 Production Support
 </li>
 <li>
 Participate in incident response and resolution to minimize downtime
 </li>
 <li>
 Continuously analyze and improve performance, reliability, and security of production environments
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Engineering, Computer Science, IT, or related field
 </li>
 <li>
 Minimum 5 years of professional experience
 </li>
 <li>
 Excellent English communication skills (verbal and written)
 
 
 </li>
 </ul>
 
 Technical Expertise
 
 
 
 <ul>
 <li>
 Kubernetes: Deep understanding of architecture, concepts, and best practices; hands-on experience managing clusters at scale
 </li>
 <li>
 Splunk or ELK: Experience with log data platforms, data organization, and analysis
 </li>
 <li>
 GitLab: Familiarity with CI/CD features and pipeline scripting
 </li>
 <li>
 Cloud Platforms: AWS, Azure, GCP experience
 </li>
 <li>
 Troubleshooting: Strong problem-solving and root cause analysis skills
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong collaboration and communication skills
 </li>
 <li>
 Ability to work effectively with cross-functional teams
 </li>
 </ul>
</div>

Data Streaming

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>
 <li>
 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
 </li>
 <li>
 Act as the key user of GDQ tool, maintain exception list within the tool based on the data supplied by the markets
 </li>
 <li>
 Improve existing DQ solutions through the development of new Data Quality checks
 </li>
 <li>
 Lead/Support defect fixing on JDA Data issues
 </li>
 <li>
 LDRM error solving. Creation of the files to upload to Teradata, management and tracking of the data in Teradata.
 </li>
 <li>
 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

<div>
 
 Position Overview
 
 
 The AI Product Business Analyst acts as the strategic link between business needs and AI-enabled solutions within the TP.ai FAB ecosystem.
 
 
 This role supports the design, delivery, and optimization of AI-powered products by gathering requirements, analyzing data, and translating insights into actionable recommendations for engineering, data, and product teams.
 
 
 Focused on business value, explainability, and ethical compliance, the Analyst ensures that AI features and models deliver measurable impact while maintaining human-centered design principles.
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 &bull; Business Requirement Gathering &amp; Analysis
 
 
 &middot; Collaborate with stakeholders to capture detailed business needs and translate them into functional and non-functional requirements.
 
 
 &middot; Identify opportunities to embed AI capabilities &mdash; including automation, predictive analytics, conversational AI, and generative features &mdash; into digital products and business workflows.
 
 
 &middot; Document and maintain end-to-end process and data flows connecting AI agents, APIs, and human users.
 
 
 &bull; Data-Driven Insight &amp; Solution Definition
 
 
 &middot; Analyze business and operational data to uncover trends, patterns, and improvement opportunities.
 
 
 &middot; Support data scientists and engineers by aligning model outputs with real-world business objectives.
 
 
 &middot; Assist in defining and tracking AI success metrics (accuracy, precision, automation rate, confidence thresholds, etc.).
 
 
 &bull; Process Optimization &amp; Modeling
 
 
 &middot; Map existing workflows, identify bottlenecks, and recommend automation or process redesign.
 
 
 &middot; Develop current-state and future-state business process models using standardized frameworks.
 
 
 &middot; Propose solutions that optimize value, cost efficiency, and user experience while maintaining ethical AI practices.
 
 
 &bull; Cross-Functional Collaboration
 
 
 &middot; Act as a liaison between Product, Engineering, Data Science, and Operations to ensure clarity and alignment.
 
 
 &middot; Participate in agile ceremonies &mdash; grooming, sprint planning, and retrospectives &mdash; to ensure delivery consistency.
 
 
 &middot; Lead stakeholder workshops and feedback sessions to validate requirements and refine priorities.
 
 
 &bull; Testing, Documentation &amp; Continuous Improvement
 
 
 &middot; Participate in UAT (User Acceptance Testing) and validation of AI-enabled features.
 
 
 &middot; Maintain comprehensive documentation (Business Requirement Documents, User Stories, and Functional Specs).
 
 
 &middot; Track performance post-deployment and recommend iterative improvements based on feedback and analytics.
 
 
 &bull; Ethical &amp; Responsible AI Awareness
 
 
 &middot; Support prompt testing, explainability validation, and bias detection in AI outputs.
 
 
 &middot; Ensure product features adhere to Responsible AI, privacy, and data governance principles.
 
 
 &middot; Balance automation efficiency with human oversight and transparency across all product interactions.
 
 
 
 
 
 
 
 
 
 
 
 Required Qualifications
 
 
 Educational Background
 
 
 &middot; Bachelor&rsquo;s degree in Business Administration, Computer Science, Information Systems, Engineering, or a related field.
 
 
 &middot; Certifications in AI Product Management, Data Analytics, or Agile Product Ownership are preferred.
 
 
 
 
 
 Experience
 
 
 &middot; 2&ndash;5 years of experience in Business Analysis, Product Management, or Product Operations roles within digital or technology environments.
 
 
 &middot; Proven ability to support the end-to-end product lifecycle &mdash; from discovery and requirements gathering to deployment and optimization.
 
 
 &middot; Experience collaborating with Product, Engineering, Data Science, and UX teams in global, matrixed organizations.
 
 
 &middot; Exposure to AI-powered or data-driven products (e.g., conversational AI, predictive models, or automation platforms).
 
 
 
 
 
 Technical Skills
 
 
 &middot; Working knowledge of AI technologies (NLP, ML, LLMs, computer vision).
 
 
 &middot; Familiarity with AI platforms (Azure AI, OpenAI, Vertex AI, or equivalent).
 
 
 &middot; Understanding of data analytics fundamentals and business intelligence tools (Power BI, SQL, or similar).
 
 
 &middot; Exposure to prompt engineering, AI product testing, and AI evaluation metrics.
 
 
 &middot; Knowledge of ethical AI principles, bias mitigation, and compliance standards.
 
 
 
 
 
 
 
 
 Soft Skills &amp; Other Requirements
 
 
 &middot; Analytical, curious, and detail-oriented problem solver.
 
 
 &middot; Strong communication skills &mdash; able to bridge business and technical language fluently.
 
 
 &middot; Collaborative and adaptable in agile, cross-functional settings.
 
 
 &middot; Balances human judgment with data-driven insights.
 
 
 &middot; Ethical, empathetic, and user-focused mindset with commitment to responsible AI.
 
</div>

AI Product Business Analyst

geidea

<div>
 
 Established in 2008,
 
 Geidea
 
 epitomizes customer focused empowerment and commercial success through continuous innovation.
 
 
 
 Geidea
 
 makes best in class digital payment solutions available for all by attracting and leveraging the best creative &amp; entrepreneurial talent in the market
 
 
 Our solutions give any business the chance to get ahead and reach for more no matter their size or maturity.
 
 
 Our technology mirrors our people - Smart, Innovative &amp; Forward Thinking
 
 
 www.geidea.net
 
 
 
 
 
 To maintain a competitive advantage as we grow, we are currently looking for a new "Senior Data Analyst".
 
 
 
 
 
 
 Job purpose:
 
 
 
 To structure and automate organizational data to ensure accuracy, consistency, and alignment across systems, while transforming data into actionable insights that drive key business metrics, optimize costs, and increase overall company value. The role also supports the identification and enablement of data monetization opportunities, contributing to the development of new data-driven revenue streams.
 
 
 
 
 
 
 Key accountabilities:
 
 
 <ul>
 <li>
 Creating reports and developing tools and processes to automate reports.
 </li>
 <li>
 Developing ML algorithms to analyze huge volumes of historical data to make predictions.
 </li>
 <li>
 Analyzing large amounts of data relating to sales, customers or financial performance.
 </li>
 <li>
 Using Structured Query Language (SQL), Tableau Prep and Python to extract data.
 </li>
 <li>
 Aligning reports to business objectives and key performance indicators.
 </li>
 <li>
 Collaborating with other business areas and leaders to identify reporting needs.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 5-7+ Years of experience
 </li>
 <li>
 Minimum bachelor&rsquo;s degree in data or a numerate subject
 </li>
 <li>
 Functional Knowledge (Data Analytical &amp; Strong troubleshooting and report writing abilities)
 </li>
 <li>
 Business Expertise (Business, Market &amp; Industry Knowledge)
 </li>
 <li>
 Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Our values guide how we think and act - They describe what we care about the most
 
 
 
 
 C
 
 ustomer first - It&rsquo;s embedded in our design thinking and customer service approach
 
 
 
 O
 
 pen - Openness allows us to constantly improve and evolve
 
 
 
 R
 
 eal - No jargon and no excuses!
 
 
 
 B
 
 old - Constantly challenging ourselves and our way of thinking.
 
 
 
 R
 
 esilient &ndash; If we fail, we bounce back stronger than before.
 
 
 
 C
 
 ollaborative - We know that we can achieve a lot more as a team.
 
 
 We are changing lives by constantly striving for a better solution.
 
 
 
</div>

Senior Data Analyst

Explore 653+ Digital data analyst in Cairo this March. Find roles across top companies and apply now to boost your career.

653 digital data analyst jobs In Cairo

Data Analysis

Data Analyst

Data Streaming

Data Quality & Master Data Analyst

Data Quality & Master Data Analyst

AI Product Business Analyst

Senior Data Analyst