Personify Health is looking to solve the problem of simplifying and personalizing the health experience to improve health and reduce costs for companies and their people by leveraging data analytics and product strategy.
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
- 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.
- Create predictive models for feature impact and long-term engagement.
- Build self-service tools and dashboards that empower teams.
- Partner with Data Engineering to optimize analytics-ready pipelines.
- Establish best practices and reusable libraries for SQL, Python, and experimentation templates.
- Translate analytical findings into executive-level narratives that drive confident, data-backed decisions.
Other
- Act as primary analytics partner to senior product leadership, setting frameworks for KPI definition, tracking, and evaluation
- Serve as senior analytics thought leader, influencing roadmap prioritization and portfolio investment decisions
- Ability to coach and raise data fluency of product managers, designers, and business leaders
- Strong executive communication and storytelling skills with comfort presenting to leadership teams
- Experience in agile product environments with direct contribution to roadmap shaping
