data scientist

senior data scientist

data engineer

financial analyst

ai engineer ii

data analyst ii

Floward

<div>
 Floward
 
 
 
 Job Purpose
 
 
 
 The Data Analyst II plays a key role in delivering data-driven insights and supporting decision-making across business units at Floward. This role involves conducting in-depth data analysis, building and maintaining ETL pipelines, designing performance dashboards, and applying statistical models to uncover growth and optimization opportunities. The Analyst collaborates closely with cross-functional teams to ensure timely, impactful, and actionable data outputs.
 
 
 
 Key Responsibilities
 
 
 
 
 Data Analysis &amp; Interpretation
 
 
 
 <ul>
 <li>
 Conduct exploratory data analysis to understand business processes and identify optimization opportunities.
 </li>
 <li>
 Apply statistical models and business logic to extract actionable insights from structured and semi-structured datasets.
 </li>
 <li>
 Design and interpret experiments and surveys that inform strategic business decisions.
 
 
 </li>
 </ul>
 
 Data Modeling &amp; Pipeline Development
 
 
 
 <ul>
 <li>
 Contribute to data modeling and transformation pipelines using SQL and Python.
 </li>
 <li>
 Build, automate, and maintain ETLs to ensure reliable and timely data delivery.
 </li>
 <li>
 Work with data engineers to ensure proper data governance and documentation.
 
 
 </li>
 </ul>
 
 Visualization &amp; Reporting
 
 
 
 <ul>
 <li>
 Develop dashboards and reports using BI platforms (Tableau, Power BI) to track and communicate key business metrics.
 </li>
 <li>
 Maintain and evolve visualizations based on stakeholder feedback and evolving business needs.
 
 
 </li>
 </ul>
 
 Business &amp; Strategic Support
 
 
 
 <ul>
 <li>
 Partner with product, marketing, operations, and finance to support strategic projects.
 </li>
 <li>
 Provide recommendations backed by data to drive commercial outcomes.
 </li>
 <li>
 Communicate insights clearly to technical and non-technical stakeholders across geographies.
 
 
 </li>
 </ul>
 
 Education
 
 
 
 
 Skills and Qualifications
 
 
 
 Bachelor&rsquo;s degree in Computer Science, Statistics, Engineering, Economics, or a related field.
 
 
 
 Experience
 
 
 
 <ul>
 <li>
 Minimum 3+ years of professional experience in data analysis, preferably in the e-commerce or retail industry.
 </li>
 <li>
 Strong experience in SQL, with working knowledge of Python or R.
 </li>
 <li>
 Hands-on experience in building dashboards and performing exploratory data analysis.
 </li>
 <li>
 Prior experience in designing experiments and analyzing survey data is a plus.
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Proficient in SQL, Python (Pandas, Matplotlib), or R (Shiny, ggplot2, RMarkdown).
 </li>
 <li>
 Experience with BI tools (e.g., Tableau, Power BI).
 </li>
 <li>
 Strong understanding of statistical concepts and data modeling techniques.
 </li>
 <li>
 Familiarity with Jupyter Notebooks and Git for version control.
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong analytical and problem-solving mindset.
 </li>
 <li>
 Excellent communication skills, especially with leadership-level stakeholders.
 </li>
 <li>
 Ability to work independently and as part of a geographically distributed team.
 </li>
 </ul>
</div>

Data Analyst II

Valeo

<div>
 Business Intelligence Analyst
 
 
 Company:** Valeo Internal Automotive Software Egypt
 
 
 
 Job Summary
 
 
 
 Valeo Internal Automotive Software Egypt is seeking a highly motivated and skilled Business Intelligence Analyst to transform complex data into actionable insights. This role will play a crucial part in supporting strategic decision-making and optimizing business performance within our dynamic automotive software environment.
 
 
 Job Responsibilities
 
 
 As a Business Intelligence Analyst, you will be responsible for:
 
 
 <ul>
 <li>
 Designing, developing, and maintaining robust Business Intelligence (BI) solutions, including dashboards, reports, and data visualizations, to support various business units.
 </li>
 <li>
 Performing in-depth Data Analysis to identify trends, patterns, and anomalies in large datasets, providing clear and concise interpretations to stakeholders.
 </li>
 <li>
 Collaborating with cross-functional teams to understand business requirements and translate them into technical specifications for BI solutions.
 </li>
 <li>
 Assisting in the management and optimization of Database Management systems, ensuring data integrity, security, and accessibility.
 </li>
 <li>
 Contributing to the development and implementation of Data Governance policies and procedures to maintain data quality and compliance.
 </li>
 <li>
 Conducting Data Mining activities to uncover hidden insights and opportunities for process improvement and innovation.
 </li>
 <li>
 Developing and maintaining Data Modeling structures to ensure efficient data retrieval and analysis.
 </li>
 <li>
 Applying Data Science techniques and methodologies to solve complex business problems and predict future outcomes.
 </li>
 <li>
 Creating compelling Data Visualization to effectively communicate complex analytical findings to both technical and non-technical audiences.
 </li>
 <li>
 Participating in the design, development, and maintenance of Data Warehousing (DW) solutions to support enterprise-wide reporting and analysis.
 </li>
 <li>
 Writing and optimizing Structured Query Language (SQL) queries to extract, transform, and load data from various sources.
 
 
 </li>
 </ul>
 
 Job Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Systems, Statistics, Mathematics, or a related quantitative field.
 </li>
 <li>
 Proven experience as a Business Intelligence Analyst or in a similar data-focused role.
 </li>
 <li>
 Strong proficiency in Business Intelligence (BI) tools and platforms (e.g., Tableau, Power BI, QlikView).
 </li>
 <li>
 Expertise in Data Analysis and strong analytical problem-solving skills.
 </li>
 <li>
 Solid understanding of Database Management principles and practices.
 </li>
 <li>
 Familiarity with Data Governance best practices.
 </li>
 <li>
 Experience with Data Mining techniques and tools.
 </li>
 <li>
 Proficiency in Data Modeling concepts and methodologies.
 </li>
 <li>
 Basic understanding of Data Science principles and applications.
 </li>
 <li>
 Excellent skills in Data Visualization and storytelling with data.
 </li>
 <li>
 Experience with Data Warehousing (DW) concepts and technologies.
 </li>
 <li>
 Advanced proficiency in Structured Query Language (SQL) for data manipulation and querying.
 </li>
 <li>
 Excellent communication, interpersonal, and presentation skills with the ability to explain complex technical concepts to non-technical stakeholders.
 </li>
 <li>
 Ability to work independently and as part of a team in a fast-paced environment.
 </li>
 </ul>
</div>

Business Intelligence Analyst, BI

<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

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

elmenus

<div>
 
 Job Description
 
 
 
 Senior Product Analyst
 
 
 Contract: Full-time, permanent
 
 
 Location: Remote / Flexible
 
 
 
 Role Overview
 
 
 
 As a Senior Product Analyst, you&rsquo;ll partner closely with our Tech, Growth, Commercial, and Business Operations teams to uncover insights that improve conversion, retention, and customer satisfaction. You&rsquo;ll own the end-to-end analytics lifecycle from defining success metrics and ensuring accurate instrumentation to delivering actionable insights that drive product performance.
 
 
 This role blends analytical depth with business intuition. You&rsquo;ll be a key player in translating raw data into meaningful decisions that enhance customer experience and drive growth.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Own end-to-end analysis of the user funnel to uncover drop-offs, quantify business impact, and identify actionable opportunities for improvement.
 </li>
 <li>
 Partner with Tech to validate event tracking, ensure data accuracy, and strengthen instrumentation.
 </li>
 <li>
 Define, monitor, and explain key performance metrics (conversion rate, retention, reorder rate, refund cycle time).
 </li>
 <li>
 Correlate operational issues (delivery delays, promo or payment errors) with customer satisfaction trends.
 </li>
 <li>
 Extract and quantify customer pain-points from reviews and support data to guide CX initiatives.
 </li>
 <li>
 Design and evaluate experiments in collaboration with Growth, Commercial, and Operations teams.
 </li>
 <li>
 Build and automate dashboards and recurring performance reports for leadership visibility.
 </li>
 <li>
 Translate complex data into clear, visual, and actionable recommendations that influence decisions.
 </li>
 <li>
 Drive a culture of data-driven decision-making across all business and technical functions.
 
 
 </li>
 </ul>
 Job requirements
 
 
 
 Required
 
 
 
 <ul>
 <li>
 5+ years of experience in product, growth, or business analytics within digital platforms (delivery, marketplace, or e-commerce).
 </li>
 <li>
 Strong experience with data visualization and BI tools (Tableau, Metabase, or Looker).
 </li>
 <li>
 Expertise in behavioral analytics platforms such as MoEngage, Mixpanel, Heap, Amplitude, or Google Analytics, with the ability to translate event-level data into actionable insights.
 </li>
 <li>
 Demonstrated ability to perform funnel, cohort, and A/B test analysis, and to interpret results in a clear business and CX context.
 </li>
 <li>
 Proficiency in SQL and Python (pandas, matplotlib, seaborn) or equivalent analytical tools.
 </li>
 <li>
 Excellent communication and stakeholder management skills &mdash; able to present complex findings to both technical and non-technical audiences.
 </li>
 <li>
 Good written and verbal communication in English.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience collaborating with Tech, Growth, and Operations teams to optimize product performance and customer experience.
 </li>
 <li>
 Working knowledge of event instrumentation and data pipeline concepts (GA4, BigQuery, Amplitude, PostHog).
 </li>
 <li>
 Familiarity with customer experience measurement frameworks (NPS, CSAT, VOC)
 </li>
 <li>
 Understanding of marketplace dynamics, including vendor performance, delivery reliability, and consumer satisfaction drivers.
 </li>
 </ul>
</div>

Senior Product 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

Jamjoom Pharma

<div>
 
 Join Us as a QC Finished Product Analyst
 
 
 
 Jamjoom Pharma is in search of a detail-oriented
 
 QC Finished product Analys
 
 t to join our team. This role is essential in ensuring that our raw materials, in-process materials, and finished goods meet the highest standards of quality and compliance. The QC Finished product Analyst will conduct routine and non-routine analyses, prepare reports, and make recommendations to continuously improve our processes and products
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Perform routine and advanced tests using specialized instruments.
 </li>
 <li>
 Record, calculate, and report results with precision through computer systems.
 </li>
 <li>
 Carry out visual inspections of finished products.
 </li>
 <li>
 Contribute to internal audits and quality improvement initiatives.
 </li>
 <li>
 Interpret test data to resolve production or design challenges.
 </li>
 <li>
 Maintain, calibrate, and troubleshoot laboratory equipment.
 </li>
 <li>
 Uphold occupational safety, health regulations, and company policies in every procedure.
 
 
 </li>
 </ul>
 Qualification s&amp; Skills
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in chemistry, Biology, Pharmaceutical Sciences.
 </li>
 <li>
 At least 2 years of experience in the pharmaceutical industry.
 </li>
 <li>
 Strong analytical skills with exceptional attention to detail.
 </li>
 <li>
 Familiarity with GMP, GLP, and ISO standards.
 </li>
 <li>
 Basic knowledge of laboratory instruments and computer‑based reporting systems.
 </li>
 <li>
 Excellent communication and problem‑solving abilities.
 
 
 </li>
 </ul>
 Why Join Us? At Jamjoom Pharma, you&rsquo;ll be part of a dynamic team committed to excellence, innovation, and continuous improvement. We offer competitive compensation, professional development opportunities, and a collaborative environment where your contributions make a real impact.
</div>

QC Finished product Analyst

Explore 379+ Data analyst ii in Cairo this January. Find roles across top companies and apply now to boost your career.