Responsibilities
- Define, implement, and maintain product metrics and KPIs across adoption, usage, funnels, engagement, and clinical impact.
- Build and maintain dashboards and reporting in tools such as Looker, Mode, or similar, surfacing timely insights to product and clinical stakeholders.
- Design, run, and analyze A/B tests, multivariate experiments, and cohort analyses to validate feature impact and inform product strategy.
- Develop statistical models (e.g., regression, survival analysis, causal inference) to quantify the relationship between clinician behavior and clinical or business outcomes.
- Instrument features using product analytics tools (e.g., Pendo, Mixpanel, Amplitude), owning event schema design, funnel tracking, and behavioral segmentation.
- Query and transform data from cloud data warehouses (BigQuery, Snowflake, Redshift) using advanced SQL, and supplement with Python as needed.
- Partner with data engineering to validate data pipelines, ensure data quality, and maintain consistent and trustworthy metric definitions.
- Translate quantitative findings into clear recommendations that influence product direction and roadmap decisions.
- Monitor post-launch performance to identify adoption gaps, usability issues, or opportunities for iterative improvement.
- Support deep-dive analyses on provider workflows, care gap closure, chronic disease management, and population-level clinical metrics.
- Assist in occasional clinical validation or root-cause investigations, including anomalies in clinical outputs or edge-case usage patterns.
Requirements
- 3+ years of hands-on experience in product analytics, growth analytics, or data science supporting SaaS or digital products.
- Deep experience designing and analyzing A/B tests, cohort analyses, and causal inference-based evaluations.
- Strong SQL skills, including complex joins, CTEs, and window functions, with experience in modern cloud data warehouses.
- Experience with dashboards and data visualization, delivering insights to cross-functional stakeholders.
- Hands-on experience with product analytics tools (Pendo, Amplitude, Mixpanel, or similar).
- Excellent cross-functional communication skills, with the ability to distill complex analyses into clear recommendations.
- A collaborative mindset and prior experience partnering with product, engineering, UX, and clinical teams.
Nice to Have
- Experience in digital health, familiarity with EHR systems (Epic, Cerner), clinical terminologies (ICD, CPT, FHIR), or provider workflows.
- Experience with clinical or claims datasets, care gap analytics, and value-based care environments.
Benefits
- Competitive base salary and equity opportunities.
- Performance-based bonus program, 401k matching, and regular compensation reviews.
- Comprehensive medical, dental, and vision coverage.
- No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy.
- Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities.
- Reimbursement for office setup expenses.
- Monthly cell phone & internet stipend.
- Paid parental leave for all new parents.
Additional Information
- Remote-first culture, enabling collaboration with global teams.
