We are looking for a Product Analyst who is passionate about data and understands both product behavior and data infrastructure. You’ll serve as the analytical partner to product managers, while also collaborating closely with our data engineering team to ensure scalable, reliable, and well-instrumented data foundations.
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.
Nice to Have:
- Python (Pandas, NumPy, basic modeling) for data analysis or ETL prototyping.
- Experience working with dbt, Airflow, or other data orchestration tools.
- Exposure to subscription commerce, digital pharmacy compliance, or regulated health environments.