- Analyze product performance, user behavior, funnels, cohorts, and conversion metrics.
- Design and evaluate A/B tests and experiments using hypothesis testing and statistical methods.
- Identify product growth opportunities through data-driven insights.
- Build and monitor product KPIs, dashboards, and analytical frameworks.
- Partner with Product, Business, and Engineering teams to drive product decisions.
- Translate complex analysis into clear, actionable recommendations.
Key Requirement: 4+ years of experience in Product Analytics / Product Analysis with solid hands-on expertise in A/B Testing, Hypothesis Testing, Funnel Analysis, Cohort Analysis, SQL, and Python.