Staff Analyst (Product & Marketing)

Join Hims and Hers as a Staff Analyst (Product & Marketing) and become a strategic analytics partner to both the Product and Marketing organizations. In this role, you will drive impact across the full customer journey, from acquisition and conversion to retention and growth. You will work cross-functionally with various teams and utilize your expertise in A/B testing, digital analytics, marketing measurement, experimental design, and predictive modeling to optimize the customer experience and marketing investments. This remote position offers generous PTO, full healthcare coverage, retirement planning, and competitive salary bands with stock options.

• Provide thought leadership and strategic partnership to both Product and Marketing stakeholders, influencing roadmap and channel investment decisions with data-driven insights.
• Own the experimentation strategy across product and marketing workstreams, including test design, success metrics, sample-size estimation, guardrails, and results interpretation.
• Partner with Data Science to contribute to predictive models, including churn, LTV, and conversion propensity, that directly inform product and marketing decisions.
• 5+ years of experience designing, executing, and analyzing A/B tests across product and/or marketing environments
• Experience with GrowthBook or a comparable experimentation platform
• Expert SQL skills and advanced experience with Looker or Tableau
• We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. If you're excited about this role, we encourage you to apply—even if you're not sure if your background or experience is a perfect match
• Experience applying causal inference techniques beyond standard A/B testing, such as quasi-experimental methods or observational study design
• Hands-on experience with marketing analytics, including paid channel performance, CRM analysis, incrementality testing, or attribution modeling
• Ability to explain technical analyses clearly to non-technical audiences, including senior leadership
• A proactive, ownership-driven mindset with strong organizational and prioritization skills
• Familiarity with telehealth concepts or subscription-based healthcare models
• Experience with price testing and modeling price elasticity
• Experience with multi-touch attribution (MTA), media mix modeling (MMM), or incrementality testing methodologies
• DBT, Airflow, and Databricks experience
• Extensive experience working with data engineering teams and production data pipelines
• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related field
• Experience shaping and influencing product and marketing strategy, not just executing analyses
• Experience partnering with Data Science to contribute to predictive models such as churn, LTV, or conversion propensity in Python or R
• 8+ years of experience in analytics, data science, or a related quantitative field
• Experience in data modeling and statistics; strong knowledge of experimental design + statistical inference
• Experience with subscription-based business models and metrics, including conversion funnel analysis, cohort analysis, and churn