What You’ll Do:
- Analyze user behavior across web platforms to identify friction points in the product journey, especially around search, checkout, prescription flow, and re-purchase.
- Design and evaluate A/B tests for product optimizations — including pricing, UX changes, cross-sell strategies, and delivery options.
- Own key product KPIs (conversion, LTV, churn, retention), and provide actionable insights through dashboards, deep-dives, and cohort analysis.
- Collaborate with data engineering to define tracking requirements, review event instrumentation plans, and validate data quality.
- Help shape the product data model (e.g., event taxonomy, user & session stitching) to support scalable self-serve analytics.
- Act as a bridge between business needs and backend data structure — helping ensure analytical use cases are supported by clean, efficient pipelines.
- Partner with marketing and operations to analyze user acquisition funnels, subscription adoption, and fulfillment performance.
Requirements:
- 3+ years in a Product Analyst or Data Analyst role, ideally in B2C
- Strong SQL skills — you can confidently join large tables, create window functions, and write performant queries.
- Experience with A/B testing frameworks and basic statistical analysis (e.g., significance, confidence intervals, test power).
- Proficiency in BI tools like Tableau, Looker, or Power BI.
- Familiarity with event-based tracking (Amplitude, Segment, GA4, Mixpanel, or custom solutions).
- Comfortable reviewing data schemas, suggesting event designs, or debugging tracking issues with engineers.
Strong communication skills: you can explain data insights and technical constraints to non-technical stakeholders.