Product Data Analyst – Riyadh

About the role

We are looking for a Product Data Analyst to join our digital product team and turn product data into actionable insights that support product development and business decisions. The role focuses on product analytics, understanding user behavior, ensuring data quality, defining product metrics, improving data tracking, and providing clear recommendations.

Key responsibilities

• Define, manage, and document key product metrics such as activation, job application journeys, recruiter engagement, and AI service performance.
• Lead the development and governance of a standardized Job Title Taxonomy to improve data quality and consistency.
• Identify, analyze, and resolve data quality issues across production data.
• Design and maintain data tracking plans, defining events and properties for engineering teams to implement.
• Conduct end‑to‑end analysis, from writing SQL queries to delivering actionable recommendations.
• Design and analyze experiments, including sample size calculations and statistical significance testing.
• Build and maintain dashboards and underlying data models to support self‑service analytics.
• Validate data accuracy, investigate anomalies, and challenge data that does not align with actual product behavior.
• Present insights and recommendations to Product, Engineering, and Executive teams.

Required profile

• 2–5 years of experience in data analytics, with at least 2 years supporting a live digital product.
• Bachelor’s degree in Statistics, Mathematics, Data Science, Computer Science, or a related quantitative field, or equivalent practical experience.
• Excellent English communication skills; Arabic is strongly preferred.
• Must be based in Riyadh, Saudi Arabia.

Required skills

• Advanced SQL (complex joins, aggregations, query optimization).
• Proficiency in Python or R for advanced data analysis.
• Experience with BI platforms such as Power BI, Tableau, Looker, or Metabase, including data modeling.
• Hands‑on experience in product analytics and designing data tracking plans.
• Experience with experimentation, statistical analysis, sample sizing, and significance testing.
• Familiarity with dbt or data warehouse modeling.