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Senior Product Data Analyst

Salla
Jeddah, KSA
Full-time
Senior · 4+ years experience
Hybrid
Discovered 2 weeks ago
SQLLookerMetabaseTableauPythonR
Free

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Responsibilities

  • Partner with product teams to translate questions and hypotheses into clear KPIs and success criteria
  • Own analytics across key product journeys, including funnels, feature adoption, engagement, conversion, retention, and segmentation
  • Conduct deep-dive analyses to diagnose performance changes, uncover root causes, and recommend product opportunities
  • Design and analyse A/B tests and impact evaluations, including metric selection, guardrails, validation checks, and decision recommendations
  • Develop and validate tracking plans for new features
  • Measure product launches and build dashboards and self-serve tools for monitoring product health
  • Communicate findings, business impact, and trade-offs clearly while contributing to team best practices and supporting junior analysts

Requirements

  • 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 product metrics, including funnels, cohorts, conversion, retention, and feature adoption
  • Hands-on experience with product experiments and a solid understanding of hypothesis testing, confidence intervals, statistical power, and common 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 judgement and the ability to manage analytical work independently in ambiguous situations
  • Excellent communication and stakeholder-management skills, with the ability to influence product decisions through data
  • 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 tools such as Amplitude, Mixpanel, dbt, ClickHouse, or BigQuery
  • Knowledge of causal inference, quasi-experimental approaches, or Bayesian methods

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