Senior Product Data Analyst

Role Overview

Responsibilities

• Translate product questions and hypotheses into KPIs and success criteria.
• Own analytics across funnels, feature adoption, engagement, conversion, retention, and segmentation.
• Conduct deep-dive analyses to diagnose changes, identify root causes, and recommend opportunities.
• Design and analyze A/B tests and impact evaluations with appropriate metrics and validation checks.
• Develop and validate tracking plans for new features.
• Measure launches and build dashboards and self-service product-health tools.
• Communicate findings, impact, and trade-offs and support junior analysts.

Requirements

• At least four years of product analytics, data analytics, or related experience in a technology or digital-product environment.
• Advanced SQL skills and experience with large, complex datasets.
• Strong understanding of funnels, cohorts, conversion, retention, and feature adoption.
• Hands-on product experimentation experience and knowledge of statistical testing concepts.
• Experience with event-based product data, tracking plans, validation, and data-quality checks.
• Proficiency with a BI tool such as Looker, Metabase, or Tableau, plus Python or R.
• Strong product judgment and ability to work independently in ambiguous situations.
• Excellent communication and stakeholder-management skills.

Nice to Have

• Arabic proficiency and experience in Saudi Arabia or the wider GCC.
• Experience in e-commerce, marketplaces, fintech, or SaaS products.
• Familiarity with Amplitude, Mixpanel, dbt, ClickHouse, or BigQuery.
• Knowledge of causal inference, quasi-experimental approaches, or Bayesian methods.

Working Context

• The products operate at scale and may require decisions with incomplete information and without an existing playbook.
• The role requires balancing analytical rigor with the need to move quickly.