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Role Overview
Senior Product Data Analyst at Salla. This role shapes how Salla builds and improves products through data-driven insights and analytics.
Role Purpose
You will own analytics for a product area end to end, from defining success metrics and measurement plans to analysing experiments, monitoring launches, and recommending next steps. You will partner with Product Managers, Engineers, Designers, and the Data team to turn customer behaviour and product performance into clear business decisions.
Key Responsibilities
Analytics Ownership & Strategy
- 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
- Develop and validate tracking plans for new features
- Communicate findings, business impact, and trade-offs clearly while contributing to team best practices
Analysis & Insights
- 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
- Measure product launches and build dashboards and self-serve tools for monitoring product health
Stakeholder Support
- Support junior analysts and mentor on analytical approaches
- Influence product decisions through data and stakeholder management
Qualifications & Experience
- 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
Skills & Competencies
- Proficiency with a BI tool such as Looker, Metabase, or Tableau
- 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
- Ability to learn domain quickly, synthesise across messy and incomplete inputs, and decide what level of analysis is sufficient for the decision at hand
- Comfort making calls with incomplete information and moving fast without losing rigour
Additional Information
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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