senior software engineer

data analyst

data scientist

senior data scientist

crm senior analyst

senior data analyst

Taager

<div>About Taager 
Taager is the first B2B startup specialized in supporting social sellers. We are democratizing the social e-commerce space by enabling entrepreneurs &mdash; whether beginners or experienced &mdash; to sell online without capital, inventory, or operational experience. We handle product selection, storage, logistics, payment collection, and customer service on behalf of our merchants. 

Launched in 2019 with a team of just 8 people, we&rsquo;ve grown to over 350 employees across Egypt, Saudi Arabia, the UAE, and more recently, Morocco. We serve over 34,000 social commerce sellers from diverse backgrounds &mdash; from students seeking side income to seasoned digital marketers aiming to become independent entrepreneurs. Our sellers have access to over 2,500 high-potential products.

Our teams are driven by our mission and deeply motivated to provide the best experience for our sellers. With a commitment to quality and operational excellence, we're transforming the social commerce landscape in the MENA region! 
Our Mission

To empower anyone to start and grow their own e-commerce business. 
Our Vision

We envision a world where anyone can sell online, earn a living, and even build wealth &mdash; all within a simple, low-risk environment. A world where the magic of technology is made accessible to the most talented merchants. 
Why Join Taager?
<ul>
<li>You'll work in an international environment with team members from over 10 nationalities.</li>
<li>You&rsquo;ll have access to a very attractive compensation plan, depending on your ability to scale.</li>
<li>We invest in team development and prioritize internal promotions.</li>
<li>You&rsquo;ll work alongside ambitious, kind, and talented individuals.</li></ul> 


About the Role 
We are looking for a Senior Data Analyst (Product) to transform data into actionable insights that drive product strategy and business growth. You will partner with product managers, business stakeholders, and engineering teams to measure product performance, identify opportunities, and support data-informed decision-making across the organization. 

Responsibilities: 
<div>
<ul><li>Partner with product managers and business stakeholders to define metrics, KPIs, and success criteria for product initiatives.</li></ul>
<ul><li>Analyze large datasets to identify trends, patterns, and opportunities that inform product roadmap and business strategy.</li></ul>
<ul><li>Build and maintain comprehensive dashboards and reports to track product performance, user behavior, and business metrics.</li></ul>
<ul><li>Support A/B testing initiatives by analyzing experiment results and providing actionable recommendations.</li></ul>
<ul><li>Conduct deep-dive analyses to understand user journeys, conversion funnels, and feature adoption.</li></ul>
<ul><li>Translate complex data findings into clear, actionable insights for non-technical stakeholders through presentations and reports.</li></ul>
<ul><li>Collaborate with data engineers to ensure data quality and implement new data tracking requirements.</li></ul></div> 


Required Skills: 
<div>
<ul><li>Advanced proficiency in SQL for complex queries, joins, and aggregations across large datasets.</li></ul>
<ul><li>Strong experience with Python for data analysis and statistical analysis.</li></ul>
<ul><li>Hands-on experience with dbt for data transformation and modeling.</li></ul>
<ul><li>Expertise in data visualization tools (e.g., Metabase, Tableau) and building insightful dashboards.</li></ul>
<ul><li>Solid understanding of product analytics frameworks (e.g., funnels, cohort analysis, retention metrics).</li></ul>
<ul><li>Knowledge of statistical concepts including descriptive statistics, correlation, and basic hypothesis testing.</li></ul>
<ul><li>Experience analyzing A/B test results and understanding statistical significance.</li></ul>
<ul><li>Strong analytical and problem-solving skills with attention to detail.</li></ul>
<ul><li>Excellent communication skills to present findings to both technical and non-technical audiences.</li></ul>
<ul><li>Ability to work independently and manage multiple priorities in a fast-paced environment.</li></ul>
<ul><li>Understanding of product development lifecycle and user experience principles.</li></ul></div></div>

Senior Data Analyst

Foodics

<div>Who Are We❓
We Are Foodics! a leading restaurant management ecosystem and payment tech provider. Founded in 2014 with headquarter in Riyadh and offices across 5 countries, including UAE, Egypt, Jordan and Kuwait. We are currently serving customers and partners in over 35 different countries worldwide. Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far! making Foodics one of the most rapidly evolving SaaS companies to ever emerge from the MENA region.
The Job in a Nutshell 
We are looking for a Senior Data Analyst to join Foodics&rsquo; Optimization Team. This role focuses
on using data to improve product performance, customer experience, and business outcomes.
You will lead deep analytical investigations, design and analyze experiments and A/B tests, and
turn complex data into clear, actionable insights for product, operations, and leadership teams. 
What Will You Do❓<ul>
<li>
Own end-to-end analytical projects: define the problem, explore data, run analysis, and communicate results.</li>
<li>Design, execute, and analyze experiments and A/B tests to measure the impact of product and business changes.</li>
<li>Write advanced SQL to extract, transform, and analyze large datasets efficiently and accurately.</li>
<li>Perform deep dives to identify patterns, trends, and root causes behind business performance.</li>
<li>Build and maintain dashboards in Metabase and Looker Studio to monitor key metrics and experiments.</li>
<li>Partner closely with Product, Operations, and Business teams to define success metrics and track outcomes.</li>
<li>Translate analytical findings into clear presentations and written insights for stakeholders.</li>
<li>Measure the impact of initiatives and ensure learnings are documented and reusable.</li>
<li>Support data-driven decision-making across the Optimization Team.</li>
<li>Collaborate with Data Engineering to improve data quality, define requirements for modeled tables, and request new data points or pipelines when needed.</li>
<li>Work closely with Product teams to evaluate product improvement ideas, build data- backed business cases, and prioritize initiatives based on impact.</li>
<li>Partner with Customer Support, Sales, and Operations teams to streamline processes,
 
remove inefficiencies, and optimize workflows using data.</li>
Navigate incomplete, inconsistent, or noisy data and still deliver reliable, decision-ready insights. 
<li>
</li></ul>What Are We Looking For❓<ul>
<li>
5+ years of experience in data analysis, analytics, or business intelligence roles.</li>
<li>Advanced proficiency in SQL, including complex joins, window functions, and performance optimization.</li>
<li>Strong experience in experimentation, A/B testing, and statistical analysis.</li>
<li>Proven ability to perform deep analytical investigations and uncover actionable insights.</li>
<li>Hands-on experience with BI tools such as Metabase and Looker Studio (or similar).</li>
<li>Strong communication skills with the ability to simplify complex analysis for non-technical audiences.</li>
<li>Experience packaging insights into presentations and clear written documentation.</li>
<li>Comfortable working with messy, imperfect, or partially missing data.</li>
<li>Highly analytical, curious, and detail-oriented mindset.</li>
<li>Ability to work independently and manage multiple projects in a fast-paced environment.</li>
Experience in SaaS, FinTech, or data-driven product companies is a strong plus. 
<li>
</li>
</ul>Who Will Excel❓<ul>
<li>
Familiarity with Python and experience in data analysis using Python.</li>
Experience with datasets in the F&amp;B or retail sectors. 
<li>
</li></ul>What We Offer You❗ 
We believe you will love working at Foodics!<ul><li><ul>
<li>
We have an inclusive and diverse culture that encourages innovation and flexibility in-offices.</li>
<li>We offer highly competitive compensation packages, including bonuses and the potential for shares.</li>
<li>We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment.</li>
<li>Join a talented team of over 30 nationalities working in 14 countries, and gain valuable experience in an exciting industry.</li>
<li>We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company.</li></ul></li></ul></div>

elmenus technologies

<div><h3 class="jobSectionHeader">Key Responsibilities</h3><ul><li>
Strategic Partnership: Collaborate with cross-functional, global teams to translate business challenges into technical data requirements.</li><li>
Dashboard Mastery: Design, build, and maintain high-impact Tableau dashboards that provide &quot;at-a-glance&quot; clarity for complex datasets.</li><li>
Insight Generation: Proactively identify, analyze, and interpret patterns or trends. You don&rsquo;t just report the what; you explain the why and recommend the how.</li><li>
Data Stewardship: Query and manipulate massive datasets with precision, ensuring our Data Warehouse (DWH) concepts are applied to maintain data integrity and performance.</li><li>
Operational Problem-Solving: Deep-dive into the daily hurdles of the food/grocery tech ecosystem to provide data-backed solutions.</li></ul><h3 class="jobSectionHeader"> 
Qualifications</h3><ul><li>
Experience: 3&ndash;4+ years of analytical experience, ideally within the Food-Tech or Grocery industry.</li><li>
Technical Core: Expert-level proficiency in SQL is non-negotiable.</li><li>
Visualization Expert: Advanced mastery of Tableau (experience with Metabase is a strong plus).</li><li>
Architectural Knowledge: A solid grasp of Data Warehousing (DWH) principles and the ability to handle large-scale data manipulation.</li><li>
Communication: Exceptional ability to &quot;translate&quot; technical findings for non-technical stakeholders across different cultures and departments.</li></ul></div>

Astek

<div>
 
 One of our clients is looking for a
 
 dynamic and skilled Senior Data Analyst
 
 to enhance their expanding Data Analytics team. The ideal candidate will possess substantial experience in collecting, analyzing, and interpreting extensive datasets to inform pivotal business decisions. Strong communication and presentation abilities are essential for effectively conveying insights to senior management and key stakeholders.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Oversee and execute complex data analysis projects from initiation to completion.
 </li>
 <li>
 Gather, clean, and prepare datasets for detailed analysis.
 </li>
 <li>
 Create and implement sophisticated analytical models and methodologies.
 </li>
 <li>
 Analyze data to discover trends, patterns, and actionable insights.
 </li>
 <li>
 Present findings to senior management and stakeholders in a clear and impactful manner.
 </li>
 <li>
 Establish and maintain data governance and quality standards.
 </li>
 <li>
 Mentor and guide junior data analysts.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 
 Minimum of 6 years
 
 of experience as a data analyst
 </li>
 <li>
 Bachelor or Master's degree in Data Science, Statistics, or a related field is preferred.
 </li>
 <li>
 Proficient in
 
 SQL
 
 and data visualization tools, particularly
 
 Power BI
 
 .
 </li>
 <li>
 Experience with statistical analysis using
 
 Python
 
 or other analytical tools.
 </li>
 <li>
 Excellent communication and presentation skills.
 </li>
 <li>
 Ability to work independently as well as collaboratively within a team.
 </li>
 </ul>
 
 
 Preferred Experience:
 
 
 <ul>
 <li>
 Experience in the
 
 Healthcare
 
 or
 
 Population Health
 
 sectors is a plus.
 </li>
 </ul>
 
 
</div>

Data 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

EVA Pharma

<div>Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for our team members.
Job Summary 
We are seeking a passionate and talented Senior Data Analytics Lead to join our dynamic team.
The ideal candidate will contribute to our mission of enhancing human health and well-being, ensuring that we meet the highest standards of excellence in our industry.
Key Responsibilities:<ul>
<li>
Lead end-to-end analytics from problem framing to insight delivery, adoption, and KPI/ROI tracking.
</li><li>Build and optimize Power BI models, Python analytics workflows, and advanced Excel analyses.
</li><li>Apply hypothesis-driven analysis to uncover root causes and deliver actionable recommendations.
</li><li>Ensure data quality, governance, documentation, and reproducibility across analytics outputs.
</li><li>Mentor analysts and collaborate with Data Engineering/Data Science to operationalize insights and AI/ML outputs.
</li></ul>Requirements<ul>
<li>
Bachelor&rsquo;s in a relevant field; advanced degree a plus. 7&ndash;10+years in analytics/BI with measurable impact, including 3+ years in senior/lead roles.
</li><li>Expert in Power BI (data modeling, performance optimization, deployments), strong SQL, and modern data platforms (e.g., Azure, Snowflake, Databricks).
</li><li>Proficient in Python for data wrangling, analysis, and visualization, plus advanced Excel (Power Query, Power Pivot, complex formulas); Git and testing experience.
</li><li>Proven problem solver with root-cause analysis, KPI design, executive dashboards, and translating business goals into analytical solutions.
</li><li>Strong communicator and leader with data storytelling skills, stakeholder influence, high data integrity, continuous improvement mindset; AI/ML and regulated-industry experience a plus.</li></ul></div>

Senior Data Analytics Lead

Valleysoft

<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 Responsibilties<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<ul>
<li>
Bachelor&rsquo;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>

Senior Business Analyst

Explore 1428+ Senior data analyst in Egypt this February. Find roles across top companies and apply now to boost your career.

1428 senior data analyst jobs In Egypt

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Data Analyst

Data Scientist / Senior Machine Learning Engineer

Senior Data Analytics Lead

Senior Business Analyst