About Taager

Taager is the first B2B startup focused on social sellers- Merchants. We are democratizing the social e-commerce space by enabling budding as well as seasoned entrepreneurs to sell online with no required capital, inventory, or operational experience. We have our Merchants covered from merchandising, warehousing, shipping, cash collection and customer service.

In 2019 we started as a team of 8 people, now we are over 350 employees across Egypt, KSA and the UAE. We serve more than 34K social e-commerce sellers from incredibly diverse backgrounds – from students earning a part-time income to highly ambitious digital marketing experts looking to become solo entrepreneurs. The sellers on our platform benefit from access to 2,500+ highly marketable products. Our people are driven by our mission and motivated by our desire to deliver the most seamless customer experience to the sellers on our platform. With a continuous focus on quality and execution, we are changing the social e-commerce landscape in the MENA region!

Our Mission

Our mission is to empower anyone to start and scale their e-commerce business.

Our Vision

We envision a world where everyone has the opportunity to sell online, make a living and even get rich in an easy and low-risk environment. A world where the magic of technology becomes accessible to the most talented of Merchants.

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.
What you will do

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

What will make you successful:

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