data business analyst

data engineer

data engineer (m/f/d)

data engineer (m/w/d)

data analytics 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>
 
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 Collect, organize, and analyze data from multiple sources.
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 Develop reports and dashboards using Excel, Power BI, or similar tools.
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 Interpret data trends and provide actionable business insights.
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 Monitor KPIs and performance metrics.
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 Ensure data accuracy and integrity.
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 Support management with ad-hoc reports and analysis.
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 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>
 
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 2&ndash;4 years of experience in data analysis (Egypt market preferred).
 </li>
 
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 Strong knowledge of SQL and Microsoft Excel.
 </li>
 
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 Experience with Power BI or Tableau.
 </li>
 
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 Basic knowledge of Python is a plus.
 </li>
 </ul>
</div>

Data Analysis

Hassan Allam Holding

<div>
 <ul>
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 Design, develop, and maintain scalable data pipelines using tools like Power BI, SQL, and Python.
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 </ul>
 
 
 
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 Build and optimize data models to support reporting and analytical needs.
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 </ul>
 
 
 
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 Clean and transform data using Power Query (M language).
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 </ul>
 
 
 
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 Write DAX measures and calculated columns to enable meaningful insights.
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 </ul>
 
 
 
 <ul>
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 Collaborate with analysts and business users to understand reporting requirements.
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 </ul>
 
 
 
 <ul>
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 Validate data accuracy and resolve mismatches or inconsistencies.
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 </ul>
 
 
 
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 Develop and apply data validation rules to ensure consistency and integrity.
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 </ul>
 
 
 
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 Optimize ETL processes for performance, reliability, and scalability.
 </li>
 </ul>
 
 
 
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 Monitor data pipeline health and troubleshoot issues during refresh or transformation.
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 </ul>
 
 
 
 <ul>
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 Maintain clear documentation for data models, business logic, and transformation steps.
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 </ul>
 
 
 
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 Authorized to build and manage dataflows, datasets, and models within the business intelligence platform.
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 Authorized to develop and deploy analytical dashboards for internal business units.
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 </ul>
 
 
 
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 Authorized to propose improvements to data models, queries, and reporting processes for better performance and accuracy.
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 </ul>
 
 
 Qualification
 
 
 
 Bachelor's Degree in Computer Science, Engineering, or related field
 
 
 
 Education
 
 
 
 BSc or higher in Data Analytics, Information Systems, or equivalent
 
 
 
 Total Years of Experience
 
 
 
 2 - 3 years
 
 
 
 Years of Relevant position
 
 
 
 Minimum 1 year in data analytics
 
 
 
 Professional Certification
 
 
 
 Power BI, Microsoft Fabric, SQL, Python or similar (preferred)
 
 
 
 Work Experience (Previous work Industries)
 
 
 
 Construction, Engineering
 
 
 
 Language
 
 
 
 Fluent in English
 
 
 
 Computer Skills
 
 
 
 Power BI, SQL, DAX, M, Python, Excel, Fabric
 
</div>

Data Analytics Engineer

<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>
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 Sales, trends, and market conditions.
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 Develop, expand and maintain a network of contacts of key channel partners and vendors.
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 Monitor and evaluate competitor products, pricing strategies, and market positioning.
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 Ensure the timely and accurate delivery of all program deliverables.
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 Prepare detailed reports and presentations to communicate findings to stakeholders.
 </li>
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 Develop market forecasts and predictive models by utilizing statistical methods and tools to anticipate future trends and consumer behavior.
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 Maintain and update databases with relevant market data and research findings.
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 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
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 Bachelor's degree or equivalent experience in Finance, Economics, or Statistics with a strong understanding of economic principles and their application to market analysis.
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 Capable of designing and conducting primary research, including creating surveys, conducting interviews, and managing focus groups.
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 Skilled in analyzing complex datasets and developing predictive models, with familiarity in statistical tools and methodologies.
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 High level of accuracy and attention to detail in data analysis and report preparation.
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 Strong English written and verbal communication skills to effectively present .
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 Efficient in managing multiple research projects and meeting deadlines. Excellent in problem-solving.
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 Advanced Microsoft Excel, PowerPoint and Power BI skills required.
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 Familiarity with GenAI tools such as Microsoft Copilot, OpenAI, or Gemini.
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 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
 
 
 
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 A permanent, full-time position with a hybrid working module
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 A benefit package to complete your salary
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 Individualized Culture: An environment where you can explore new areas outside your specialty and stay engaged with work you enjoy.
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 A position in a highly professional and globally respected market research and advisory firm, where initiative leading to results is rewarded
 
 
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 </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

Amazon

<div>
 
 Description
 
 
 
 Amazon is a highly data driven company highly obsessive about metrics. The Data analysts play a crucial role in creating unique reports from data available in multiple locations and providing vital insights into the root cause of quality defects and inventory adjustments. ICQA Data Analyst will work closely with the ICQA, Learning and Finance departments to provide data and analytical support for the business.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Development of data collection processes and data management systems
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 Designing of queries, compiling of data, and generation of reports in SQL
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 Charting and graphing of data for reporting purposes
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 Developing dashboard (Amazon Quicksight) to support business decision making and dive deep activities
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 Develop automation solution for analysis (python)
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 Prepare and publish reports for business reviews (Weekly Business Review, Quarterly Business Review, Project Updates)
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 Supporting leadership team how to interpret data trends as needed
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 In depth research of defect trends
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 Present analysis in easily digestible standard reports
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 Support to ICQA &amp; Learning Team Projects
 
 
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 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Experience that includes strong analytical skills, attention to detail, and effective communication abilities
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 Experience communicating clearly and effectively with different functional groups including senior business leaders, finance, HR and developers
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 Experience managing and executing large projects from start to finish, including project management, data gathering and modeling, problem solving, and communicating recommendations
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 Experience translating customer needs into business requirements
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 Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
 
 
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 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience in development or technical support
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Souq.com for E-Commerce LLC
 
 
 Job ID: A3176702
</div>

Data Analyst, AMET Central Data Analytics team

Axis

<div>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Lead the design and delivery of analytical insights that support business strategy and operational decision-making.
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 Partner with product, growth, and commercial teams to identify analytical opportunities and solve business problems.
 </li>
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 Develop and maintain dashboards, reports, and data models to monitor business performance.
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 Perform deep-dive analyses to uncover trends, opportunities, and risks.
 </li>
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 Build scalable analytical workflows using Python and/or R to automate analyses and improve efficiency.
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 Contribute to the development of internal data tools and web applications that allow stakeholders to explore and interact with data.
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 Ensure data quality and consistency across analytical outputs.
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 Translate complex data findings into clear, actionable recommendations for stakeholders.
 </li>
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 Support experimentation frameworks and analyze results from A/B tests and product experiments.
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 Lead and mentor a team of at least two analysts, providing guidance on analytical approaches, prioritization, and best practices.
 </li>
 <li>
 Contribute to building a strong data culture and improving data literacy across the organization.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 3&ndash;4 years of experience in analytics, business intelligence, or data analysis roles in a tech, fintech, or e-commerce environment.
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 Strong proficiency in SQL for querying and analyzing large datasets.
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 Strong experience with Python and/or R for data analysis, automation, and analytical workflows.
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 Experience with data visualization and BI tools (e.g., Superset, Tableau, Power BI, Looker).
 </li>
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 Experience performing business analysis, funnel analysis, cohort analysis, and performance analysis.
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 Familiarity with experimentation and A/B testing methodologies.
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 Strong problem-solving skills and ability to translate complex data into business insights.
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 Experience building data tools, analytical scripts, or web-based analytical applications is a strong plus.
 </li>
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 Strong communication skills and ability to work with both technical and non-technical stakeholders.
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 </ul>
</div>

Data Analytics Lead

<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

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571 data analytics analyst jobs In Cairo

Data Analysis

Data Analytics Engineer

Data Analyst

Data Analyst, AMET Central Data Analytics team

Data Analyst, AMET Central Data Analytics team

Data Analytics Lead

AI Product Business Analyst