business analyst

senior data scientist

data scientist

financial analyst

product analyst

data analyst

Vezeeta

<div>
 
 Job Summary
 
 
 
 We are seeking a highly motivated and detail-oriented Junior Data Analyst to join our data-driven team. As a Data Analyst, you will play a crucial role in supporting data-related activities within our organization. You will work closely with senior data analysts and other team members to collect, analyze, and present data insights that inform decision-making and drive business growth. This is an excellent opportunity for a recent graduate or entry-level professional to gain valuable experience in the field of data analysis.
 
 
 Data Collection and Cleaning: Collect and compile data from various sources, ensuring data accuracy and completeness. Perform data cleaning and transformation as necessary to prepare it for analysis.
 
 
 <ul>
 <li>
 Data Analysis: Assist in conducting data analysis using statistical methods, data visualization tools, and data analysis software. Summarize findings in clear and concise reports.
 </li>
 <li>
 Data Visualization: Create visually appealing and informative charts, graphs, and dashboards to present data insights to stakeholders. Use tools such as Tableau, Power BI, or Excel for visualization.
 </li>
 <li>
 Report Generation: Prepare regular and ad-hoc reports to communicate key metrics and findings to the team and management. Ensure reports are accurate and delivered on time.
 </li>
 <li>
 Data Quality Assurance: Help maintain data quality standards by identifying and resolving data discrepancies or inconsistencies. Collaborate with other team members to establish data quality protocols.
 </li>
 <li>
 Collaboration: Work closely with cross-functional teams, including data engineers, business analysts, and stakeholders, to understand data requirements and deliver actionable insights.
 </li>
 <li>
 Research and Learning: Stay up-to-date with industry trends and best practices in data analysis. Continuously expand your knowledge and skills in data analytics techniques and tools.
 
 
 </li>
 </ul>
 
 Requirements And Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, or a related discipline.
 </li>
 <li>
 Strong analytical skills and a passion for working with data.
 </li>
 <li>
 1 year of experience
 </li>
 <li>
 Proficiency in data analysis tools and programming languages such as Excel, SQL.
 </li>
 <li>
 Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
 </li>
 <li>
 Excellent communication skills, with the ability to translate complex data into understandable insights.
 </li>
 <li>
 Detail-oriented and capable of maintaining data accuracy and integrity.
 </li>
 <li>
 Strong problem-solving skills and the ability to think critically.
 </li>
 <li>
 Highly organized and able to manage multiple tasks and deadlines effectively.
 </li>
 <li>
 Team player with a collaborative mindset and the ability to work well in a diverse team environment.
 </li>
 <li>
 Eagerness to learn and adapt to new tools, techniques, and technologies in the field of data analysis.
 </li>
 </ul>
</div>

Data Analyst

dubizzle Egypt

<div>
 Dubizzle Egypt is the leading marketplace for selling and buying online in the region. Our aim is to upgrade people's lives by facilitating deals and identifying attractive opportunities for both individuals and businesses. Our goal is to strengthen local economies, empower small businesses, and help everyone in making smarter choices for themselves, the market, and the planet.
 
 
 As part of Dubizzle Group, we are alongside some of the strongest classifieds brands in the market. With a collective strength of 8 brands, we have more than 160 million monthly users that trust in our dedication to providing them with the best platform for their needs.
 
 
 As a Data Analyst, you will be in a central position as you will be evangelising data and our methodologies to other functional analysts and other stakeholders in the company. You will have close interaction with teams in marketing, sales, finance, and product. You will work in a fast-paced environment that is professional, international and entrepreneurial.
 
 
 
 In this role, you will:
 
 
 
 <ul>
 <li>
 Lead the business intelligence unit;
 </li>
 <li>
 Access data, construct and manipulate large datasets to support planned analyses using SQL, Python and similar tools;
 </li>
 <li>
 Design and develop BI dashboards using Sisense or similar tools (Tableau, PowerBI, DataStudio) for various organisational metrics and indicators using best practices and industry standards in finance, sales, inventory, and other areas;
 </li>
 <li>
 Help with defining KPIs metrics and drive the data governance through standardisation and communication;
 </li>
 <li>
 Create the documentation and presentation for the management;
 </li>
 <li>
 Develop analysis and reporting capabilities; monitor performance and quality control plans to identify improvements;
 </li>
 <li>
 Adept at queries, report writing and presenting findings;
 </li>
 <li>
 Research and validation of entity data using appropriate internal and external data sources;
 </li>
 <li>
 Liaise and analyse projects within the Reference Data environment;
 </li>
 <li>
 Analyse, specify, test and implement interfaces, workflow solutions, and reference data solutions - An example would be regression testing systems ahead of upgrades;
 </li>
 <li>
 Participate in the design, implementation and interpretation of experiments/trials for continuous refinement of ongoing strategies;
 </li>
 <li>
 Responsible for data quality and timely delivery of reports that make common business sense;
 </li>
 <li>
 Participate in Analytics &amp; Reporting trainings to evangelise data across the organisation;
 </li>
 <li>
 Be able to work autonomously without supervision
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in statistics, mathematics, computer science, or related field;
 </li>
 <li>
 Master's degree is a plus
 </li>
 <li>
 2+ years of work experience in analytics, having closely worked with products and commercials in an internet/e-commerce company;
 </li>
 <li>
 Experience in e-commerce, internet and/or digital media
 </li>
 <li>
 Extensive experience with SQL;
 </li>
 <li>
 Proficient in Microsoft Excel;
 </li>
 <li>
 Experience working with BI tools (e.g. Looker, Periscope, Tableau, etc.);
 </li>
 <li>
 Skills in Python, R or similar tools are a big plus;
 </li>
 <li>
 Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc)
 
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 A fast paced, high performing team
 </li>
 <li>
 Comprehensive Health Insurance
 </li>
 <li>
 Life Insurance
 </li>
 <li>
 Rewards &amp; Recognitions
 </li>
 <li>
 Learning &amp; Development opportunities
 
 
 
 </li>
 </ul>
 #Egyptdubizzle
</div>

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

Henkel

<div>
 At Henkel, you can be a game changer and craft your career. Unleash your entrepreneurial spirit by bringing your ideas to life within a global team. Our leading brands and technologies, along with our high-performing businesses will provide you with countless opportunities to develop your skills and explore new paths. Your career at Henkel will contribute to a more sustainable future, while you grow within our vibrant, diverse culture of trust and belonging. If you're up for challenging the status quo, join our team of pioneers and make your mark on the future with us.
 
 
 
 Do you dare to make an impact?
 
 
 
 
 Your Role
 
 
 
 <ul>
 <li>
 Generate Value from data by providing relevant analytical insights gathered from data assets. Identifies, analyses, and interprets trends or patterns in complex datasets.
 </li>
 <li>
 Prioritizes information needs, including capturing requirements, building data flows, datasets, reports, and dashboards
 </li>
 <li>
 Automates &amp; maintains new and existing data models: identifies methods that to continuously improve data integrity across data sources
 </li>
 <li>
 Provides quality assurance of imported data. Supports initiatives for data integrity &amp; normalization
 </li>
 <li>
 Keeps up to date with latest industry trends, and proposes new technologies / systems based on research or industry best practices
 
 
 </li>
 </ul>
 
 YOUR SKILLS
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Business informatics, Networks Engineering, or any relevant study
 </li>
 <li>
 2-4 years of relevant work experience
 </li>
 <li>
 Fluent English speaker with excellent communication skills and teamwork abilities
 </li>
 <li>
 Proficient user of MS Office applications (Word, Excel, and PowerPoint)
 </li>
 <li>
 Mandatory Experience in Data Visualization (specifically Power BI) and Python with business acumen.
 </li>
 <li>
 Preferrable experience in Microsoft Azure and SAP Process knowledge with Networking &amp; Opportunity Management Skills
 
 
 </li>
 </ul>
 Henkel is an equal opportunity employer. We look for a diverse team of individuals who possess different backgrounds, experiences, and mindsets.
</div>

Sustainability Data Analyst

Group-IB

<div>
 
 Founded in 2003 and headquartered in Singapore, Group-IB is a leading creator of cybersecurity
 
 
 technologies to investigate, prevent, and fight digital crime. Combating cybercrime is in the company&rsquo;s DNA, shaping its technological capabilities to defend businesses, and citizens, and support law enforcement operations.
 
 
 
 
 
 Group-IB&rsquo;s Digital Crime Resistance Centers (DCRCs) are located in the Middle East, Europe, Central Asia, and Asia-Pacific to help critically analyze and promptly mitigate regional and country-specific threats. These mission-critical units help Group-IB strengthen its contribution to global cybercrime prevention and continually expand its threat-hunting capabilities.
 
 
 
 
 
 Each of us can help make the world a safer place. Join us!
 
 
 
 
 
 
 WHAT WE WILL #DO TOGETHER:
 
 
 
 Group-IB is a partner of INTERPOL, Europol, and a leading cybersecurity and digital identity protection solutions provider.
 
 
 
 
 
 We are protecting the largest organizations and financial institutions worldwide from online fraud, threat actors and scam campaigns. Our work helps secure the lives of over 300 million users of online banking, ecommerce and e-government portals.
 
 
 
 
 
 Our day-to-day routine consists of cyber fraud cases investigations, deep research on fraud activity and constant development of solution capabilities and detection mechanisms. We invite you to fight cybercrime together with us!
 
 
 
 
 
 
 TASKS TO SOLVE:
 
 
 <ul>
 <li>
 Analyze suspicious events and user sessions for fraud behavior;
 </li>
 <li>
 Successfully utilize the latest technologies of fraud detection and come up with new methods;
 </li>
 <li>
 Participate in the development of a digital identity protection system and fraud detection;
 </li>
 <li>
 Prepare fraud activity reports and conduct research of malicious activity.
 </li>
 <li>
 Support customers with fraud analysis, investigations, and usage of the Fraud Protection Platform;
 </li>
 <li>
 Prepare use cases and anti-fraud strategies for new projects;
 </li>
 <li>
 Supporting the project during the PoC (Proof of Concept) and regular phase;
 </li>
 <li>
 Conducting presentations and training sessions;
 </li>
 <li>
 Configuring new projects and developing custom anti-fraud logic.
 </li>
 </ul>
 
 
 
 
 
 APPLY FOR THIS VACANCY IF YOU HAVE THE FOLLOWING QUALIFICATIONS:
 
 
 <ul>
 <li>
 Have experience in the financial sector (banking, payment systems, fintech, fraud prevention, and risk management);
 </li>
 <li>
 Have experience in data visualization and presentation preparation;
 </li>
 <li>
 Good communication and presentation skills, problem-solving, strong analytical skills, and great computer skills;
 </li>
 <li>
 Proficiency in Python and data analysis frameworks (pandas, NumPy);
 </li>
 <li>
 Experience working with databases;
 </li>
 <li>
 Basic knowledge of the web and mobile applications technologies.
 </li>
 </ul>
 
 
 
 
 
 WHAT ELSE WE APPRECIATE IN OUR TEAM:
 
 
 <ul>
 <li>
 Basic knowledge of ML;
 </li>
 <li>
 Proficiency in data visualization frameworks/tools (Plotly, Dash, Matplotlib);
 </li>
 <li>
 Knowledge of graph analysis techniques for fraud detection;
 </li>
 <li>
 Familiarity with API integration for fraud prevention tools;
 </li>
 <li>
 Strong skills in preparing and delivering presentations.
 </li>
 </ul>
 
 
 
 
 
 WHY CHOOSE GROUP-IB
 
 
 <ul>
 <li>
 
 Your happiness is important to us.
 
 We want every single team member to be happy.
 </li>
 <li>
 
 Continuing professional development.
 
 At Group-IB, you can choose from various paths to growth: progress as an expert, advance to a management position, try your hand in another department, relocate abroad, or launch a new business area at Group-IB.
 </li>
 <li>
 
 A team with extensive international expertise.
 
 Do you have experience but are looking for exciting challenges? By choosing us, you will be choosing complex tasks and continuously improving your skills in a fast-growing international company.
 </li>
 <li>
 
 Globally recognized technologies.
 
 Group-IB's members are located in 25 countries and our products and services are sold in 60 countries. What&rsquo;s more, Gartner, IDC, and Forrester have ranked our technologies among the best in their class. We work with over 450 international partners and about 500 clients.
 </li>
 <li>
 
 A culture created by each of us.
 
 Group-IB&rsquo;s employees speak many different languages and understand one another. We respect each other's beliefs, share common values, and strive toward the happiness of every employee.
 </li>
 <li>
 
 Economic stability.
 
 Group-IB's sustainable growth helps rapidly develop careers that would take years to progress as far as most other companies.
 </li>
 </ul>
 
 
 
 
 
 WHAT ELSE YOU SHOULD KNOW
 
 
 <ul>
 <li>
 
 Flexible schedule.
 
 Group-IB does not have fixed working hours. You choose your own schedule. We adhere to the principle advocated by Steve Jobs: &ldquo;We have to work not 12 hours, and head.&rdquo;
 </li>
 <li>
 
 Health.
 
 If anything goes wrong, don&rsquo;t worry &mdash; we offer health insurance.
 </li>
 <li>
 
 Certificates and training courses.
 
 Group-IB specialists hold over 1,000 professional certificates, including CEH, CISSP, OSCP, GIAC, MCFE, BSI, as well as some rare ones that would be a source of pride for experts in forensics, penetration testing, and reverse engineering worldwide. We have an incentive program that helps employees achieve certifications at the company's expense.
 </li>
 <li>
 
 Challenges.
 
 A wide selection of GIB programs helps you improve soft skills, gain new competencies, and receive monetary rewards.
 </li>
 <li>
 
 The initiative is rewarded.
 
 At Group-IB, you can bring your most daring ideas to life. The company encourages technical blogging, writing articles, building sports teams, and other creative activities.
 </li>
 </ul>
</div>

Data Analyst (Fraud Protection)

Tabby | تابي

<div>
 
 
 Department:
 
 Risk Core
 
 
 
 Location:
 
 Egypt
 
 
 
 
 Description
 
 
 
 
 About us:
 
 
 
 Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 15 million users choose Tabby to stay in control of their spending and make the most out of their money.
 
 
 The company&rsquo;s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 40,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.
 
 
 Tabby generates over $10 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $3.3 billion.
 
 
 
 About the Role:
 
 
 
 You'll be joining our growing
 
 Portfolio Analytics and Modeling
 
 team which is responsible for Credit Risk Modeling and Financial/Strategic analytics. You'll be responsible for analyzing data, creating reports, and developing data-driven insights to support business decision-making. You will work closely with stakeholders to gather requirements and deliver comprehensive reports and dashboards using various programming and data analysis techniques.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Analyze customers and merchants financial data to derive actionable insights
 </li>
 <li>
 Develop reports and dashboards to support various reporting lines (external &amp; internal reporting)
 </li>
 <li>
 Ensure the accuracy and consistency of data across multiple sources for reconciliation; identifying and resolving discrepancies, ensuring the integrity of data, and providing reliable insights to support decision-making processes
 </li>
 <li>
 Investigate and analyze the underlying causes of data discrepancies, collaborating with relevant stakeholders to resolve issues and prevent future occurrences.
 </li>
 <li>
 Engage in risk/finance analytics and ad-hoc inquiries
 </li>
 <li>
 Participate in designing and enhancing various risk/finance processes
 </li>
 <li>
 Develop and maintain ECL calculations models including but not limited to: PD, LGD, EAD under IFRS-9 guidelines
 </li>
 <li>
 Perform initial validation of risk models to ensure compliance with IFRS 9 standards.
 </li>
 <li>
 Collaborate with cross-functional teams to provide data-driven insights for product launches and operational improvements.
 </li>
 <li>
 Optimize existing processes through automation and policy development.
 
 
 
 </li>
 </ul>
 
 Skills, Knowledge &amp; Expertise
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Computer Engineering, Economics, Statistics or actuarial science.
 </li>
 <li>
 3+ year of relevant experience
 
 at a bank or Fintech
 
 in a data analytics team or Risk analytics team
 </li>
 <li>
 Strong analytical and data capabilities, backed up by technical coding skills.
 </li>
 <li>
 Proficiency in SQL, Python and Excel is a must.
 </li>
 <li>
 Strong understanding of statistical analysis, forecasting techniques and machine learning algorithms
 </li>
 <li>
 Basic understanding of IFRS9 credit risk modeling requirements and financial concepts
 </li>
 <li>
 Experience with visualization tools: i.e. Tableau, Power BI.
 </li>
 <li>
 Excellent command of English
 </li>
 <li>
 Excellent written and verbal communication skills
 </li>
 <li>
 Ability to effectively present complex data and findings in a clear and concise manner
 
 
 
 </li>
 </ul>
 
 Job Benefits
 
 
 
 <ul>
 <li>
 The opportunity to learn from and grow with the sharpest minds in the business
 </li>
 <li>
 We offer flexible working hours and trust you to work enough hours to do your job well at times that suit you and your team.
 </li>
 <li>
 A working environment that gives you autonomy and responsibility from day one.
 </li>
 <li>
 You should be comfortable with the idea that the quality of your work will influence the shape of your career.
 </li>
 <li>
 Participation in the company&rsquo;s employee stock options program.
 </li>
 <li>
 Health Insurance.
 </li>
 <li>
 Flexi Perks: a monetary benefit to spend on what matters most to you &mdash; health, well-being, education, or professional development.
 
 </li>
 </ul>
</div>

Senior Data Analyst (Portfolio Analytics & Modeling)

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

Explore 390+ Data analyst in Cairo this January. Find roles across top companies and apply now to boost your career.

390 data analyst jobs IN Cairo

Data Analyst

Data Analyst

Data Analyst II

Sustainability Data Analyst

Data Analyst (Fraud Protection)

Senior Data Analyst (Portfolio Analytics & Modeling)

Senior Product Analyst