Staff Data Analyst, Product
Remote-firstFull-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 7+ years
- Required Skills
- PythonSQLA/B testingR
Requirements
- 7+ years in product analytics, data science, or quantitative analytics roles
- Demonstrated impact at staff/principal level
- Deep experience with product analytics in a B2C or marketplace environment
- Track record of defining and owning metrics frameworks
- Strong SQL skills
- Proficiency in Python or R for statistical analysis and modeling
- Proven track record designing and analyzing experiments
- Solid understanding of statistical methods and common pitfalls
- Experience with product analytics tools (Amplitude, Mixpanel, or similar)
- Experience with modern BI platforms
- Ability to translate ambiguous business questions into structured analytical approaches
- Excellent communication skills
- Strong business intuition and user empathy
- Comfortable operating with autonomy in a fast-moving environment
Responsibilities
- Partner with Product teams to define success metrics, design experiments, and evaluate feature impact
- Serve as the primary analytics partner for squads without dedicated coverage and help evolve our organisational model for product analytics
- Be hands-on with analysis, dashboards, and metric development while building the foundations for a scalable product analytics practice
- Define, own, and govern product metrics and KPIs in alignment with our company-wide unified KPI framework
- Build and maintain core product health dashboards in partnership with analytics engineering
- Conduct deep-dive analyses on user behavior, funnel performance, and cohort trends to surface opportunities and diagnose issues
- Design and analyze A/B tests and experiments, establishing best practices for experimentation rigor
- Translate complex analytical findings into clear recommendations for technical and non-technical stakeholders, including executive leadership
- Partner with data and product teams, to define data requirements and ensure product event tracking meets analytical needs
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