Personify Health is looking to simplify and personalize the health experience to improve health and reduce costs for companies and their people by leveraging data to drive product strategies and member outcomes.
Requirements
- Advanced SQL skills for complex query design and optimization
- Deep proficiency in Python with libraries like pandas, numpy, scikit-learn for modeling and analysis
- Strong grounding in statistical inference, hypothesis testing, and causal modeling
- Expertise with experimentation platforms and product analytics tools (Amplitude, Mixpanel, Heap)
- Languages/Analytics: SQL, Python, R
- Visualization: MicroStrategy, Tableau, Looker, PowerBI
- Infrastructure: AWS, Snowflake, dbt
Responsibilities
- Act as primary analytics partner to senior product leadership, setting frameworks for KPI definition, tracking, and evaluation
- Create predictive and causal inference models that anticipate feature impact, engagement, and health outcomes
- Build self-service tools and dashboards that empower teams while setting enterprise-level analytics standards
- Develop advanced product funnel and user behavior models that identify patterns unlocking new opportunities
- Design and evaluate A/B and multivariate tests with statistical rigor while creating predictive models for feature impact and long-term engagement
- Partner with Data Engineering to optimize analytics-ready pipelines while establishing best practices and reusable libraries for SQL, Python, and experimentation templates
Other
- 5-8+ years leading product analytics or data science initiatives in SaaS, healthcare, or consumer tech
- Proven track record informing product strategy through analysis and experimentation
- Experience defining, evolving, and scaling product KPIs and measurement frameworks
- Demonstrated success influencing product and company-level decisions with data
- Ability to coach and raise data fluency of product managers, designers, and business leaders
