Senior Product Data Analyst

Role overview

Responsibilities

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

Requirements

• At least 4 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 knowledge of product metrics, including funnels, cohorts, conversion, retention, and feature adoption.
• Hands-on product experimentation experience and knowledge of hypothesis testing, confidence intervals, statistical power, and A/B-testing pitfalls.
• Experience with event-based product data, tracking plans, implementation validation, and data-quality checks.
• Proficiency with Looker, Metabase, Tableau, or another BI tool, plus working knowledge of Python or R.
• Strong product judgment, independent execution, communication, and stakeholder-management skills.

Preferred qualifications

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