Director of Product & Marketing Analytics

Role Overview

Director of Product & Marketing Analytics at Hims & Hers (remote-first). Lead a team of analysts and partner with GMs, PMs, growth leads, and finance to convert complex data into clear, actionable decisions.

Key Missions

• Define and implement measurement strategies for product and marketing performance.
• Lead a team of analysts to produce actionable insights from complex data.
• Act as an analytics thought partner to senior leadership, shaping roadmaps and investment decisions.
• Represent analytics in cross-functional forums.
• Drive the transition from Multi-Touch Attribution (MTA) to Multi-Touch Incrementality, including:
  • Incrementality test design
  • Cross-category halo methodology

Responsibilities

• Establish hero metrics and measurement frameworks for product and marketing.
• Design and guide experimental analyses.
• Own/guide segmentation strategy.
• Lead long-horizon analytics efforts while responding to time-sensitive needs.

Requirements

• Expert SQL and experience with large-scale data warehouses such as BigQuery and/or Snowflake (or equivalent).
• Proven experience leading analytics teams in fast-paced consumer product environments (ideally subscription or DTC).
• Fluency with BI and experimentation tools such as Looker, GrowthBook, or Tableau.
• Strong retention and subscription analytics skills (cohort analysis, churn decomposition, LTV modeling).
• Deep expertise in experimental design: A/B testing, holdout groups, and causal inference.
• Ability to communicate complex findings to non-technical executive stakeholders.
• 12+ years in analytics/data science or related quantitative field, including at least 3 years in a senior/lead role.
• Bachelor’s in a quantitative field (Statistics, Mathematics, Economics, Computer Science/Engineering, etc.); advanced degree a plus.

Nice to Have

• Deep experience with MMM (Marketing Mix Modeling) and incrementality testing, including 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/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.

Location

• Full remote