Director of Product & Marketing Analytics

Join Hims & Hers as the Director of Product & Marketing Analytics. In this role, you will lead a team of analysts and work closely with GMs, PMs, growth leads, and finance to turn complex data into clear decisions. You will be responsible for defining hero metrics, designing experimental analyses, and guiding segmentation strategy. This is a remote-first position with generous benefits, including PTO, healthcare coverage, and a 401(k) plan.

• Define and implement measurement strategies for product and marketing performance, leading a team of analysts to turn complex data into actionable insights.
• Serve as the analytics thought partner to senior leadership, shaping roadmaps and investment decisions through data, and representing analytics in cross-functional forums.
• Lead the transition from Multi-Touch Attribution to Multi-Touch Incrementality, including incrementality test design and cross-category halo methodology.
• Expert SQL and experience with large-scale data warehouses (BigQuery, Snowflake, or equivalent)
• Experience leading analytics teams in a fast-paced consumer product environment, ideally subscription or DTC
• Fluency with BI and experimentation platforms such as Looker, GrowthBook, or Tableau
• Strong command of retention and subscription analytics: cohort analysis, churn decomposition, LTV modeling
• Deep expertise in experimental design, A/B testing, holdout groups, and causal inference methods
• Strong organizational skills, managing long-horizon projects while responding to time-sensitive needs
• Proven ability to communicate complex findings to non-technical executive audiences
• 12+ years in analytics, data science, or a related quantitative field; at least 3 years in a senior or lead role
• Bachelor's in Statistics, Mathematics, Economics, Computer Science, Engineering, or related field; advanced degree a plus
• Deep experience with MMM and incrementality testing; comfort navigating disagreements between models
• Experience with telehealth, pharmaceutical, or health subscription business models
• Familiarity with WL therapeutics, clinical pathways, or subscription-based Rx fulfillment
• Experience with AI-driven decisioning or personalization platforms (e.g., Hightouch, Braze)
• Experience with Python or R for statistical modeling
• Experience with dbt, Databricks, Airflow, or similar data tooling
• Exposure to price testing, elasticity modeling, or subscription economics research