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.
• Diagnose performance changes, uncover root causes, and recommend product opportunities.
• Design and analyse A/B tests and impact evaluations using appropriate metrics, guardrails, and validation checks.
• Develop and validate tracking plans for new features.
• Measure launches and build dashboards and self-serve tools to monitor product health.
• Communicate findings, business impact, and trade-offs clearly.
• Contribute to team best practices and support junior analysts.

Required Qualifications

• 4+ years of experience in product analytics, data analytics, or a related role within a technology or digital-product environment.
• Advanced SQL skills and experience working with large, complex datasets.
• Strong understanding of funnels, cohorts, conversion, retention, and feature-adoption metrics.
• Hands-on product-experiment 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 a BI tool such as Looker, Metabase, or Tableau, plus working knowledge of Python or R.
• Strong product judgment and ability to work independently in ambiguous situations.
• Excellent communication and stakeholder-management skills.

Nice to Have

• Proficiency in Arabic and experience working 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.

Product Context