Senior Data Analyst

About Taager

Taager is the first B2B startup specialized in supporting social sellers. We are democratizing the social e-commerce space by enabling entrepreneurs — whether beginners or experienced — 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’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 — 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 — 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?

• You'll work in an international environment with team members from over 10 nationalities.
• You’ll have access to a very attractive compensation plan, depending on your ability to scale.
• We invest in team development and prioritize internal promotions.
• You’ll work alongside ambitious, kind, and talented individuals.

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:

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

Required Skills:

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