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senior data analyst

Valeo

<div>
 Senior Business Intelligence Analyst
 
 
 Company:** Valeo Internal Automotive Software Egypt
 
 
 
 Job Summary
 
 
 
 We are seeking a highly skilled and experienced Senior Business Intelligence Analyst to join our team at Valeo Internal Automotive Software Egypt. The successful candidate will be responsible for leveraging data to provide actionable insights, support strategic decision-making, and drive business growth within our innovative automotive software environment.
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain robust Business Intelligence (BI) solutions, including dashboards, reports, and data visualizations, to meet the evolving needs of various business units.
 </li>
 <li>
 Conduct in-depth data analysis to identify trends, patterns, and anomalies, providing clear and concise interpretations of complex datasets.
 </li>
 <li>
 Manage and optimize database systems, ensuring data integrity, security, and accessibility for BI initiatives.
 </li>
 <li>
 Implement and enforce data governance policies and procedures to maintain high-quality data standards across the organization.
 </li>
 <li>
 Perform advanced data mining techniques to uncover hidden insights and predictive patterns that inform business strategies.
 </li>
 <li>
 Develop and implement effective data modeling solutions to support efficient data storage and retrieval for analytical purposes.
 </li>
 <li>
 Collaborate with data science teams to integrate advanced analytical models and machine learning outputs into BI platforms.
 </li>
 <li>
 Create compelling and interactive data visualizations that effectively communicate key performance indicators (KPIs) and business insights to stakeholders at all levels.
 </li>
 <li>
 Design, build, and maintain enterprise-level Data Warehousing (DW) solutions, ensuring scalability and performance.
 </li>
 <li>
 Write and optimize complex Structured Query Language (SQL) queries to extract, transform, and load (ETL) data from various sources.
 </li>
 <li>
 Proactively identify opportunities for process improvement and data-driven automation within the BI landscape.
 </li>
 <li>
 Mentor junior analysts and contribute to the continuous improvement of the BI team's capabilities.
 
 
 </li>
 </ul>
 
 Job Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Information Systems, Statistics, Mathematics, or a related quantitative field.
 </li>
 <li>
 Minimum of 5 years of progressive experience as a Business Intelligence Analyst or in a similar data-focused role.
 </li>
 <li>
 Proven expertise in Business Intelligence (BI) tools and platforms (e.g., Tableau, Power BI, QlikView).
 </li>
 <li>
 Strong proficiency in Data Analysis methodologies and statistical techniques.
 </li>
 <li>
 Extensive experience with Database Management systems (e.g., SQL Server, Oracle, PostgreSQL) and database design principles.
 </li>
 <li>
 Demonstrated understanding and practical application of Data Governance best practices.
 </li>
 <li>
 Experience with Data Mining techniques and tools.
 </li>
 <li>
 Solid background in Data Modeling (dimensional modeling, star schema, snowflake schema).
 </li>
 <li>
 Familiarity with Data Science concepts and their application in a business context.
 </li>
 <li>
 Exceptional skills in Data Visualization, with a portfolio showcasing effective dashboards and reports.
 </li>
 <li>
 In-depth knowledge and hands-on experience with Data Warehousing (DW) concepts and implementation.
 </li>
 <li>
 Advanced proficiency in Structured Query Language (SQL) for data manipulation and analysis.
 </li>
 <li>
 Excellent analytical, problem-solving, and critical thinking skills.
 </li>
 <li>
 Strong communication and presentation skills, with the ability to translate complex data into actionable business insights for non-technical audiences.
 </li>
 <li>
 Ability to work independently and as part of a collaborative team in a fast-paced environment.
 </li>
 </ul>
</div>

Senior Business Intelligence Analyst, BI

connectalents

<div>
 
 Are you an experienced Senior Business Analyst looking to work on a large-scale government web product with real impact?
 
 
 
 
 
 This role is for you.
 
 
 Connectalents is a leading Recruitment &amp; HR Solutions company in the UAE &amp; Egypt, delivering end-to-end manpower solutions across EMEA is hiring Senior Business Analyst (4&ndash;6 years) to work for a complex web-based system covering 500+ processes and 50+ modules in Customs &amp; Investment Modernization.
 
 
 
 
 
 Required Skills &amp; Experience:
 
 
 Strong analytical, documentation, and communication skills
 
 
 Proven experience in Customs, Supply Chain, Logistics, Freight Forwarding, or Warehousing (Mandatory)
 
 
 Experience working on complex systems (multiple modules &amp; processes)
 
 
 Ability to quickly understand large products and deliver efficiently
 
 
 Fluent in English &amp; Arabic
 
 
 Willingness to travel onsite and stay for extended periods if required
 
 
 BA certification is a plus
 
 
 Qualifications:
 
 
 Bachelor&rsquo;s degree in Computer Science, Engineering, IT, or equivalent
 
 
 Experience working with government clients is highly preferred
 
 
 
</div>

Senior Business Analyst

MedNet Egypt L.L.C

<div>
 
 
 MedNet Egypt
 
 is one of the leading managed care service organizations that cater to healthcare needs. We are looking for a skilled
 
 Senior Data Analyst &ndash; Performance Management
 
 who will be responsible for providing support to Operations teams through quantitative analysis and forecasts. In addition to enabling all stakeholders to make better and quicker decisions and thus ultimately improve the Operations&acute; performance and employee engagement.
 
 
 
 
 
 
 Your Job
 
 
 <ul>
 <li>
 Ensure timely refreshed dashboards are available to stakeholders as expected in terms of accuracy and integrity
 </li>
 <li>
 In cooperation with the senior data analyst, delivering the expected enhancement of the existing dashboards as planned and discussed with the stakeholders
 </li>
 <li>
 Propose new enhancement of the existing dashboards that facilitate the required information to the stakeholders e.g. new charts, logics&hellip;etc.
 </li>
 <li>
 Enhance existing dashboards based on received feedback based on agreed planning, timelines&hellip;etc.
 </li>
 <li>
 Support operations in providing the necessary outcomes/details for their presentations and KPIs monitoring
 </li>
 <li>
 Document the operational processes as applicable and ensure that any changes are reflected in the dashboards as applicable
 </li>
 <li>
 Consolidate all data available into one center and identify all relationship as applicable
 </li>
 <li>
 Develop triggering reports that assist other stakeholders to review their processes for any updates if any
 </li>
 </ul>
 
 
 
 
 
 Your Profile
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, engineering, mathematics/applied statistics, finance or demonstrated relevant work experience
 </li>
 <li>
 +1years&rsquo; experience in reporting or resource planning functions, in a customer focused and performance-driven organisation.
 </li>
 <li>
 Advanced excel /VBA and analytical skills. Experience in using query languages such as SQL
 </li>
 <li>
 Advanced skills in analytical tools such as Oracle cloud BI, Power BI&hellip;etc.
 </li>
 <li>
 Good command of English
 </li>
 <li>
 Team player and integrity. Self-starter with growth mindset and &ldquo;make it happen&rdquo; attitude
 </li>
 <li>
 Creativity and problem-solving skills.
 </li>
 <li>
 Project management experience is preferable.
 </li>
 <li>
 Previous experience in business intelligence consultancy and/or BPO industry is a plus
 </li>
 </ul>
</div>

Data Analyst – Performance Management

Coptic Orphans

<div>
 
 
 Sr. Data Analyst
 
 
 
 
 
 
 
 Purpose of the Job
 
 
 
 The Senior Data Analyst plays a critical role in leading advanced data analysis initiatives that uncover meaningful patterns and trends, supporting data-informed decision-making across the organization. This role involves independently sourcing, transforming, and interpreting diverse datasets and translating findings into clear, actionable insights through advanced visualizations and reports tailored for managers and functional leads. By strengthening our data-driven approach, the Senior Data Analyst will play a pivotal role in turning raw information into measurable improvements that support our mission and align with organizational objectives.
 
 
 
 
 
 
 Essential Functions and Responsibilities
 
 
 <ul>
 <li>
 Partner with directors and managers across departments to proactively identify opportunities where data analytics can enhance operational effectiveness and support business goals.
 </li>
 <li>
 Lead the design, implementation, and deployment of predictive and prescriptive models.
 </li>
 <li>
 Continuously evaluate, refine, and optimize models to improve accuracy, reliability, and business relevance.
 </li>
 <li>
 Translate machine learning outputs into actionable recommendations that support data-informed decisions by directors and managers.
 </li>
 <li>
 Deliver impactful reports, dashboards, and data stories tailored for executive audiences and non-technical stakeholders, clearly linking analytics to strategic recommendations.
 </li>
 <li>
 Design and implement robust data collection strategies from multiple sources (enterprise databases, APIs, external data feeds, unstructured data) while ensuring data integrity and accessibility.
 </li>
 <li>
 Lead data cleaning, transformation, and validation processes, establishing best practices for data quality, governance, and reliability.
 </li>
 <li>
 Drive the development and deployment of predictive and prescriptive models to support strategic planning, resource allocation, and operational optimization.
 </li>
 <li>
 Collaborate with data analysts, developers, and technology leaders to define data architecture, integration requirements, and system implementations.
 </li>
 <li>
 Provide guidance to junior analysts and contribute to building data literacy across teams.
 </li>
 <li>
 Proactively research and recommend emerging data technologies, tools, and practices to strengthen analytical capabilities and maintain competitive advantage.
 </li>
 </ul>
 
 
 
 
 
 Required Education, Experience, Knowledge and Skills
 
 
 <ul>
 <li>
 Bachelor's degree Data Science, Computer Science, Information Systems Management or a related field.
 </li>
 <li>
 3-5 years of relevant professional experience in data analysis, including designing dashboards, delivering reports, and supporting operational or business decisions.
 </li>
 <li>
 Strong programming experience in Python (Pandas, NumPy, Scikit-learn) or R, with advanced SQL skills for complex queries and database management.
 </li>
 <li>
 Demonstrated knowledge of ETL frameworks and data warehousing principles.
 </li>
 <li>
 Strong knowledge of database design, relational and dimensional modeling, and data mining techniques.
 </li>
 <li>
 Hands-on experience applying advanced statistical concepts, supervised/unsupervised learning, and machine learning algorithms to solve real-world business problems.
 </li>
 <li>
 Proven ability to design, implement, and deploy predictive and prescriptive models.
 </li>
 <li>
 Ability to evaluate model performance, optimize accuracy, and translate outputs into actionable business strategies.
 </li>
 <li>
 Strong experience with data visualization tools (Power BI, Tableau, or similar).
 </li>
 <li>
 Familiarity with cloud-based data platforms (Azure, AWS, Google Cloud) and associated analytics services.
 </li>
 <li>
 Experience with web analytics platforms (Google Analytics, Adobe Analytics) is a plus.
 </li>
 <li>
 Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint), as well as Outlook, Teams, and SharePoint.
 </li>
 <li>
 Excellent written and verbal communication skills, with confidence presenting to directors &amp; managers.
 </li>
 <li>
 Ability to translate complex data into clear, actionable insights for diverse audiences.
 </li>
 <li>
 Collaborative mindset and willingness to share knowledge with team members.
 </li>
 <li>
 Proficient in both written and spoken English.
 </li>
 <li>
 Exceptional analytical, problem-solving, and critical-thinking skills.
 </li>
 <li>
 Ability to manage multiple priorities and deliver high-quality work independently.
 </li>
 </ul>
 
 
 
 
 
 Travel and Working requirements
 
 
 <ul>
 <li>
 Limited to typical office environment such as walking, sitting, typing, using office equipment, and occasional lifting of boxes or luggage during travel.
 </li>
 <li>
 Occasional national or international travel may be required.
 </li>
 <li>
 Working out of the official hours and on weekends may be required.
 </li>
 </ul>
 
 
</div>

Sr. Data Analyst

Datamatics Technologies

<div>
 Job Title: Senior Reporting Analyst
 
 
 &nbsp;
 
 
 
 Job Purpose
 
 
 
 
 The
 
 Senior Reporting Analyst
 
 is responsible for developing, managing, and optimizing data visualizations and reports to support data-driven decision-making across the organization. This role primarily focuses on
 
 Power BI
 
 , with the flexibility to work on additional reporting platforms such as
 
 Metabase, Apache Superset
 
 , or similar tools.
 
 
 The position requires strong
 
 business data analysis
 
 capabilities and close collaboration with stakeholders to gather requirements, translate them into actionable insights, and ensure reporting solutions align with organizational objectives.
 
 
 
 
 Key Responsibilities
 
 
 1. Report Development &amp; Visualization
 <ul>
 <li>
 
 Design, develop, and optimize interactive dashboards and reports in
 
 Power BI
 
 
 </li>
 <li>
 
 Ensure data accuracy, usability, and adherence to visualization best practices
 
 </li>
 </ul>
 2. Cross-Platform Reporting Flexibility
 <ul>
 <li>
 
 Develop and maintain reports across multiple BI platforms (e.g.,
 
 Metabase, Apache Superset
 
 )
 
 </li>
 <li>
 
 Ensure consistency, quality, and standardization of reports across tools
 
 </li>
 </ul>
 3. Business Data Analysis &amp; Insights
 <ul>
 <li>
 
 Perform in-depth business data analysis to identify trends, insights, and opportunities
 
 </li>
 <li>
 
 Provide actionable recommendations to support informed decision-making
 
 </li>
 </ul>
 4. Requirement Gathering &amp; Stakeholder Collaboration
 <ul>
 <li>
 
 Collaborate with business stakeholders to understand reporting needs
 
 </li>
 <li>
 
 Translate business requirements into effective reporting and visualization solutions
 
 </li>
 </ul>
 5. Documentation &amp; Reporting Standards
 <ul>
 <li>
 
 Maintain clear documentation of reports, dashboards, data sources, calculations, and assumptions
 
 </li>
 <li>
 
 Ensure transparency, governance, and reproducibility of reporting assets
 
 </li>
 </ul>
 6. Performance Monitoring &amp; Optimization
 <ul>
 <li>
 
 Monitor and optimize report and dashboard performance
 
 </li>
 <li>
 
 Ensure scalability, responsiveness, and efficient data refresh across platforms
 
 </li>
 </ul>
 7. SQL Development
 <ul>
 <li>
 
 Design, write, and optimize complex
 
 SQL queries
 
 
 </li>
 <li>
 
 Support data extraction, transformation, and reporting requirements
 
 </li>
 </ul>
 8. Training &amp; Knowledge Sharing
 <ul>
 <li>
 
 Provide training and ongoing support to end-users
 
 </li>
 <li>
 
 Improve data literacy and adoption of Power BI and other reporting tools
 
 
 </li>
 </ul>
 
 
 Minimum Qualifications
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s degree in
 
 Business Administration, Information Systems
 
 , or a related field
 
 </li>
 <li>
 
 Master&rsquo;s degree or equivalent experience is preferred
 
 
 </li>
 </ul>
 
 
 Minimum Experience
 
 
 <ul>
 <li>
 
 
 5+ years
 
 of experience in
 
 data analysis, business intelligence, or reporting
 
 
 </li>
 <li>
 
 Strong focus on
 
 Power BI
 
 , with flexibility to work on other reporting platforms
 
 
 </li>
 </ul>
 
 
 Competencies (Knowledge, Skills, and Abilities)
 
 
 Power BI &amp; Cross-Platform Reporting
 <ul>
 <li>
 
 Advanced Power BI skills, including
 
 DAX
 
 and
 
 Power Query
 
 
 </li>
 <li>
 
 Ability to work across tools such as
 
 Metabase, Apache Superset
 
 , or similar platforms
 
 </li>
 </ul>
 SQL Expertise
 <ul>
 <li>
 
 Expert-level SQL skills for writing, optimizing, and troubleshooting complex queries
 
 </li>
 </ul>
 Semantic Layer Experience
 <ul>
 <li>
 
 Hands-on experience with semantic layers such as
 
 dbt, cube.dev
 
 , or similar tools
 
 </li>
 <li>
 
 Ability to ensure standardized metrics and consistent data definitions
 
 </li>
 </ul>
 Business Data Analysis
 <ul>
 <li>
 
 Strong analytical mindset with a focus on generating actionable business insights
 
 </li>
 </ul>
 Stakeholder Collaboration
 <ul>
 <li>
 
 Excellent communication skills to engage with both technical and non-technical stakeholders
 
 </li>
 </ul>
 Documentation &amp; Best Practices
 <ul>
 <li>
 
 Strong documentation skills for reporting processes, data sources, and calculations
 
 </li>
 </ul>
 Performance Optimization
 <ul>
 <li>
 
 Knowledge of monitoring and optimizing report performance and user experience
 
 </li>
 </ul>
 Training &amp; Support
 <ul>
 <li>
 
 Experience in training end-users and supporting adoption of BI tools
 
 </li>
 </ul>
</div>

Senior Reporting Analyst

Arrow Electronics

<div>
 
 Position
 
 
 
 Data Scientist / Senior Machine Learning Engineer
 
 
 
 Job Description
 
 
 
 
 Position Overview:
 
 
 
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

Valleysoft | Center of Excellence

<div>
 Valleysoft | Center of Excellence is a regional IT services provider based in Egypt, serving clients globally since 2006. The company collaborates with global partners like Oracle to address diverse business and technical challenges, from enterprise application development to process management. Valleysoft's vendor-neutral and process-oriented approach, coupled with operational maturity, ensures high-quality and cost-effective services for clients.
 
 
 
 Job Description
 
 
 
 As a Software Business Analyst, you must be familiar with the banking processes in general, you will be responsible for analyzing business processes, identifying areas of improvement, and implementing solutions through the development and implementation of software applications. You will work closely with stakeholders, developers, and other team members to ensure that project goals are met on time and within budget.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Serve as a contact among stakeholders to facilitate requirements gathering and analysis, along with the user acceptance process for systems
 </li>
 <li>
 Create clear and precise business requirement documents (BRDs), functional specifications documents
 </li>
 <li>
 Guide system design, development, and documentation, ensuring alignment with business needs
 </li>
 <li>
 Employ prototyping tools and methods to aid in the development of user interfaces and applications
 </li>
 <li>
 Foster proactive communication between business and development teams to resolve conflicts and advance project objectives
 </li>
 <li>
 The ideal candidate will possess strong collaboration, teaming, and consensus-building skills, and be adept at working across various disciplines and organizations
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Computer Science, or a related field
 </li>
 <li>
 Minimum 3 years of experience as a Business Analyst in the banking sector
 </li>
 <li>
 Any certificate related to the business analysis field
 </li>
 <li>
 Proven expertise in banking domain processes and systems
 </li>
 <li>
 Strong skills in eliciting, analyzing, and documenting business requirements using interviews, workshops, and other techniques
 </li>
 <li>
 Experience in feasibility studies, business process modeling, and gap analysis for process improvement and automation
 </li>
 <li>
 Ability to define user stories, use cases, and acceptance criteria for software development
 </li>
 <li>
 Familiarity with Agile, Scrum, and Waterfall methodologies
 </li>
 <li>
 Excellent stakeholder management and communication skills
 </li>
 <li>
 Strong attention to detail, organizational skills, and ability to manage multiple priorities
 </li>
 <li>
 Proficiency in documentation tools and business analysis frameworks (mention specific tools if applicable)
 </li>
 </ul>
</div>

Explore 678+ Senior data analyst in Cairo this December. Find roles across top companies and apply now to boost your career.

678 senior data analyst jobs IN Cairo

Senior Business Intelligence Analyst, BI

Senior Business Analyst

Data Analyst – Performance Management

Sr. Data Analyst

Senior Reporting Analyst

Data Scientist / Senior Machine Learning Engineer

Senior Business Analyst