data engineer

senior data scientist

data scientist

business analyst

operations analyst

data analytics and insights analyst

Coca-Cola HBC

<div>
 
 
 
 ABOUT YOUR NEW JOB
 
 
 
 
 
 
 <ul>
 <li>
 We are seeking a skilled and motivated Data Analytics &amp; Insights Analyst to join our dynamic team in the food and beverage industry. In this role, you will contribute to our data-driven initiatives by analyzing data, providing insights, and supporting strategic decision-making. You will work closely with senior analysts and cross-functional teams to identify trends, track key performance indicators (KPIs), and help improve our product offerings and customer satisfaction. This is a great opportunity to enhance your analytical skills, gain experience in the food and beverage industry, and contribute to our mission of delivering outstanding products to our customers. We are looking for a candidate who is passionate about data, eager to learn, and possesses strong communication skills.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 ABOUT YOUR NEW JOB RESPONSIBILITIES
 
 
 
 
 
 
 
 
 
 1-Analytics &amp; Insights:
 
 
 
 
 
 
 <ul>
 <li>
 Support the deployment of advanced analytics use cases, focusing on segmented execution (tailoring marketing and sales efforts to specific market segments for optimized performance), demand forecasting, and post-promotion analysis.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Assist in the development of new features for segmented execution strategies, enhancing targeting and effectiveness.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Collaborate with Commercial, Marketing, and Sales managers to adapt to regional specifics, ensuring localized strategies are supported.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Assist in delivering outlet, product, and sales staff segmentation based on internal and external data sources.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 2-Problem Solving:
 
 
 
 
 
 
 <ul>
 <li>
 Assist in structuring and identifying key business problems that data and analytics can help solve.
 </li>
 <li>
 Support the development of project plans for related use-case deployments, ensuring timely and effective implementation.
 </li>
 <li>
 Help ensure the adoption of new capabilities into regular business processes
 </li>
 </ul>
 
 
 
 
 
 
 3-Performance &amp; Value Tracking:
 
 
 
 
 
 
 <ul>
 <li>
 Assist in building value models to track performance and propose ongoing corrective actions.
 </li>
 <li>
 Develop and maintain Power BI reports and dashboards, providing clear and actionable insights to stakeholders.
 </li>
 <li>
 Identify opportunities to improve model prediction accuracy, under the guidance of senior analysts.
 </li>
 </ul>
 
 
 
 
 
 
 4-Data Management:
 
 
 
 <ul>
 <li>
 Assist in data inventory and data management processes, ensuring data quality and accessibility.
 </li>
 </ul>
 
 
 
 
 
 
 ARE THSES YOUR SECERET INGRIDENTS?
 
 
 
 
 
 
 
 
 
 1-Education
 
 
 :
 
 
 
 
 <ul>
 <li>
 University degree in a quantitative field such as Business, Mathematics, Economics, Finance, Statistics, or a related Science.
 </li>
 </ul>
 
 
 
 
 
 
 2-Language:
 
 
 
 
 
 
 <ul>
 <li>
 Proficiency in English at a B2 level or higher.
 </li>
 </ul>
 
 
 
 
 
 
 3- Years of Experience:
 
 
 
 
 
 
 <ul>
 <li>
 Minimum of 1 year of experience in Business Analysis or Product Management, with a focus on data analytics.
 </li>
 </ul>
 
 
 
 
 
 
 4-Technical Skills:
 
 
 
 
 
 
 <ul>
 <li>
 Good knowledge of MS Office, including advanced Excel functions (Power Pivot / Power Query).
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Experienced user and developer of Microsoft Power BI Reports / Dashboards.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Basic proficiency in Exploratory Data Analysis in Python is desirable.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Basic proficiency in SQL is required, and familiarity with the Microsoft SQL Server Stack (SSIS, SSAS, SSRS) is a plus.
 </li>
 </ul>
 
 
 
 
 
 
 5-Professional Skills:
 
 
 
 
 
 
 <ul>
 <li>
 Good project management and accountability skills, with the ability to manage multiple projects simultaneously.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Demonstrated ability to work effectively in cross-functional teams.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Strong data processing agility and the ability to work with large datasets.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Good communication skills, with the ability to effectively communicate complex information.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills, with a focus on delivering actionable insights.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Ability to learn new technologies and adapt to new developments in the field of data analytics and artificial intelligence
 </li>
 </ul>
 
 
 
 
 
 
 6-Preferred Qualifications:
 
 
 
 
 
 
 <ul>
 <li>
 Experience in the food and beverage industry.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP).
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Experience with statistical modeling and machine learning techniques is a plus.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 HOW WE WILL SUPPORT YOU
 
 
 
 <ul>
 <li>
 You&rsquo;ll have a buddy who will introduce you to the business, your daily routines during your onboarding period.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 International career opportunities: As a large and expanding company, we offer unique opportunities for role changes and enriching experiences and capabilities, including cross-functional transitions and international assignments.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 4 unique core values: Customer first, We over I, Make it simple and Deliver sustainably form the foundation of a robust culture that enables continuous and sustainable growth.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Competitive remuneration and social package
 </li>
 </ul>
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM
 
 
 
 
 
 
 <ul>
 <li>
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP."
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 </li>
 </ul>
 
 
</div>

Data Analytics and Insights Analyst

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

Startup Caliber

<div>
 
 
 About the Role
 
 
 
 We are seeking a highly analytical and detail-oriented
 
 Senior Business Intelligence Analyst
 
 to lead the development and optimization of BI solutions that empower business decisions. The ideal candidate will transform complex data into meaningful insights, build dashboards, and guide teams on data-driven actions.
 
 
 
 Key Responsibilities
 
 
 
 
 1. Data Analysis &amp; Insights
 
 
 <ul>
 <li>
 Analyze large, complex datasets to identify trends, patterns, anomalies, and business opportunities.
 </li>
 <li>
 Provide actionable insights to stakeholders across departments (finance, operations, marketing, sales).
 </li>
 <li>
 Build and maintain KPI frameworks and performance monitoring tools.
 </li>
 </ul>
 
 
 2. BI Tools &amp; Dashboard Development
 
 
 <ul>
 <li>
 Create, manage, and optimize dashboards and reports using tools such as:
 </li>
 <li>
 Power BI
 </li>
 <li>
 Tableau
 </li>
 <li>
 Looker Studio
 </li>
 <li>
 Qlik
 </li>
 <li>
 Ensure dashboards are visually appealing, accurate, and aligned with business needs.
 </li>
 </ul>
 
 
 3. Data Modeling
 
 
 <ul>
 <li>
 Develop and maintain scalable data models, ETL processes, and data pipelines.
 </li>
 <li>
 Work with data engineers to improve data infrastructure, enhance data quality, and ensure data availability.
 </li>
 </ul>
 
 
 4. Business Partnering
 
 
 <ul>
 <li>
 Work closely with senior leadership to understand business challenges and propose data-driven solutions.
 </li>
 <li>
 Translate business requirements into technical specifications.
 </li>
 <li>
 Present insights and recommendations to executives and non-technical stakeholders.
 </li>
 </ul>
 
 
 5. Reporting &amp; Documentation
 
 
 <ul>
 <li>
 Prepare detailed weekly, monthly, and quarterly analysis reports.
 </li>
 <li>
 Document data definitions, processes, and business rules.
 </li>
 <li>
 Implement best practices for BI reporting and data governance.
 </li>
 </ul>
 
 
 6. Continuous Improvement
 
 
 <ul>
 <li>
 Identify opportunities to automate reports and optimize BI workflows.
 </li>
 <li>
 Stay updated with the latest BI technologies, analytics methodologies, and data visualization trends.
 </li>
 </ul>
 
 
 Required Qualifications
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 5&ndash;7+ years of experience in BI, data analysis, or data analytics.
 </li>
 <li>
 Proven experience in developing dashboards and analytical solutions.
 </li>
 <li>
 Experience working with large datasets in fast-paced environments.
 </li>
 </ul>
 
 
</div>

Senior Business Intelligence Analyst

Paymob

<div>
 We are seeking a
 
 Senior Product Analyst
 
 with strong expertise in
 
 Power BI
 
 to transform data into actionable insights that drive product strategy and business growth. The ideal candidate will partner with product managers, engineers, and stakeholders to analyze performance, user behavior, and product metrics, enabling data-driven decision-making across teams.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Analyze product performance, user engagement, and conversion metrics to identify trends, opportunities, and pain points.
 </li>
 <li>
 Build and maintain Power BI dashboards and visual reports to monitor KPIs and support business decisions.
 </li>
 <li>
 Collaborate with Product Managers, Engineers, and Data teams to define and track key product success metrics.
 </li>
 <li>
 Translate complex datasets into clear, meaningful insights and recommendations for strategic initiatives.
 </li>
 <li>
 Conduct A/B testing and evaluate product changes or new feature launches using statistical methods.
 </li>
 <li>
 Develop and maintain data models, reports, and documentation to ensure consistency and data integrity.
 </li>
 <li>
 Identify areas for product and process optimization using quantitative analysis and user data.
 </li>
 <li>
 Partner with stakeholders to deliver regular performance reports and deep-dive analyses for business reviews.
 </li>
 <li>
 Ensure data accuracy, governance, and best practices across all product reporting tools.
 </li>
 <li>
 Mentor junior analysts and contribute to developing a data-driven culture within the product organization.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Statistics, Economics, Business Analytics, or related field.
 </li>
 <li>
 4+ years of experience in data or product analytics roles, preferably in a tech, fintech, or SaaS environment.
 </li>
 <li>
 Proven hands-on experience with Power BI (dashboarding, DAX, data modeling, Power Query).
 </li>
 <li>
 Strong skills in SQL for data extraction, manipulation, and analysis.
 </li>
 <li>
 Experience with data visualization best practices and communicating insights to non-technical audiences.
 </li>
 <li>
 Solid understanding of product metrics (retention, activation, funnel analysis, churn, etc.).
 </li>
 <li>
 Familiarity with A/B testing, experimentation frameworks, and statistical analysis.
 </li>
 <li>
 Experience working with cross-functional teams (Product, Engineering, Marketing, etc.).
 </li>
 <li>
 Knowledge of Python or other analytics tools (R, Excel, Google Analytics, Looker, Tableau) is a plus.
 </li>
 <li>
 Excellent problem-solving, communication, and stakeholder management skills.
 </li>
 </ul>
</div>

Senior Product Analyst

DXC Technology

<div>
 
 
 Overview:
 
 
 <ul>
 <li>
 We are looking for a highly skilled
 
 Data Analyst / Report Developer
 
 with strong expertise in
 
 SQL
 
 and
 
 Tableau
 
 to design, develop, and maintain complex dashboards and reports. The ideal candidate will have experience transforming raw data into meaningful business insights, optimising SQL queries, and collaborating with stakeholders to support data-driven decision-making.
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and maintain
 
 interactive Tableau dashboards
 
 and reports that deliver clear, actionable insights.
 </li>
 <li>
 Write and optimise
 
 complex SQL queries
 
 , joins, and stored procedures to extract and transform data from multiple data sources.
 </li>
 <li>
 Collaborate with business users to
 
 gather reporting requirements
 
 and translate them into effective visualisations.
 </li>
 <li>
 Ensure
 
 data accuracy, consistency, and performance
 
 in all reports and dashboards.
 </li>
 <li>
 Automate and schedule reports for periodic distribution and alerting.
 </li>
 <li>
 Perform
 
 data validation and troubleshooting
 
 to ensure reliable and accurate reporting outputs.
 </li>
 <li>
 Work closely with database administrators, ETL developers, and business analysts to support data projects.
 </li>
 <li>
 Continuously improve report performance and optimise data models for Tableau.
 </li>
 <li>
 Able to gather reports requirements.
 </li>
 <li>
 Prepare and create BRD for reports.
 </li>
 <li>
 Able to communicate with clients.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 computer science, information systems, data analytics, or a related field
 
 .
 </li>
 <li>
 Proven experience (5+ years) in
 
 SQL development
 
 and
 
 Tableau report/dashboard creation
 
 .
 </li>
 <li>
 Strong understanding of
 
 data modelling, relationships, and joins
 
 .
 </li>
 <li>
 Experience with
 
 data visualisation best practices
 
 and storytelling with data.
 </li>
 <li>
 Ability to handle
 
 large datasets
 
 and optimise queries for performance.
 </li>
 <li>
 Excellent analytical, communication, and problem-solving skills.
 </li>
 </ul>
 
 
</div>

Data Analyst

Property Finder

<div>
 Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region&rsquo;s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.
 
 
 Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.
 
 
 
 Position Summary:
 
 
 
 <ul>
 <li>
 Within the Strategy &amp; Analytics team, Property Finder is is seeking a Business Analytics Associate who will collaborate with various departments to establish a top-tier analytical environment for our organization.
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build Visual reporting tools that will engage our partners in a way that makes our data easy to digest and understand whilst giving actionable insights for them.
 </li>
 <li>
 Responsible for high-priority data requests &amp; reporting within the Central Functions (e.g. Business Performance, Strategy &amp; Transformation, Commercial Finance, HR).
 </li>
 <li>
 Partnering with the Data Engineering team in our journey to establish an exceptional self-service analytics environment.
 </li>
 <li>
 Partnering with the Business Performance Team to maintain &amp; produce essential recurring business performance reports on a daily, weekly, and monthly basis.
 </li>
 <li>
 Maintaining vigilance over data quality to ensure accuracy and reliability, serving as the primary source of truth..
 
 
 </li>
 </ul>
 
 Desired Qualifications:
 
 
 
 <ul>
 <li>
 2+ years of experience working as analyst in Business Analytics in a reputable tech company or a top tier management consulting company.
 </li>
 <li>
 Exceptional SQL and a Business Intelligence tool (e.g. Tableau, Quicksight, Click, Power BI etc.) knowledge
 </li>
 <li>
 Exceptional analytical and quantitative problem-solving skills
 </li>
 <li>
 Strong written and verbal communication skills with experience in presenting technical content to audiences
 </li>
 <li>
 Fluency in English
 
 
 </li>
 </ul>
 
 Other Capabilities:
 
 
 
 <ul>
 <li>
 Can do attitude (We get things done, no excuses)
 </li>
 <li>
 A dynamic, focused and self-motivated person with ability to manage multiple tasks simultaneously
 
 
 </li>
 </ul>
 
 Our promise to talent
 
 
 
 At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.
 
 
 
 Property Finder Guiding Principles
 
 
 
 <ul>
 <li>
 Think Future First
 </li>
 <li>
 Data Beats Opinions, Speed Beats Perfection
 </li>
 <li>
 Optimise for Impact
 </li>
 <li>
 No Ostriches Allowed
 </li>
 <li>
 Our People, Our Power
 </li>
 <li>
 The Biggest Risk is Taking no Risk at All
 
 
 </li>
 </ul>
 
 Find us at:
 
 
 
 Twitter
 
 
 Facebook
 
 
 Instagram
 
 
 Linkedin
 
 
 Glassdoor
</div>

Business Analytics Analyst

eXtra (United Electronics Co.)

<div>
 
 
 Essential Qualifications &amp; Skills:
 
 
 <ul>
 <li>
 Collect, analyze, and interpret data from digital platforms.
 </li>
 <li>
 Provide actionable insights to optimize marketing strategies, product performance, and user experiences.
 </li>
 <li>
 Track key performance metrics, trends, and business outcomes.
 </li>
 <li>
 Work with cross-functional teams to support data-driven decision-making.
 </li>
 <li>
 Monitor digital channels and provide regular performance reports.
 </li>
 <li>
 Identify areas of improvement and recommend data-backed solutions.
 </li>
 </ul>
 
 
 Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Analytics, Computer Science, Business s Informatics or related field.
 </li>
 <li>
 0-3 years of experience in digital analytics or data science.
 </li>
 <li>
 Strong problem-solving and critical-thinking skills.
 </li>
 <li>
 Excellent communication and collaboration skills.
 </li>
 <li>
 Strong knowledge of analytics tools and techniques.
 </li>
 <li>
 Ability to translate data into actionable insights.
 </li>
 <li>
 Excellent problem-solving and communication skills.
 </li>
 </ul>
 
 
</div>

Digital Product Analyst

Explore 914+ Data analytics and insights analyst in Cairo this December. Find roles across top companies and apply now to boost your career.