Staff Analyst, Hims & Hers

• 8+ years of experience in analytics, data science, or a related quantitative field
• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related field
• 5+ years of experience designing, executing, and analyzing A/B tests across product and/or marketing environments
• Experience partnering with Data Science to contribute to predictive models such as churn, LTV, or conversion propensity in Python or R
• Extensive experience working with data engineering teams and production data pipelines
• Experience in data modeling and statistics; strong knowledge of experimental design + statistical inference
• Experience applying causal inference techniques beyond standard A/B testing, such as quasi-experimental methods or observational study design
• Experience with subscription-based business models and metrics, including conversion funnel analysis, cohort analysis, and churn
• Hands-on experience with marketing analytics, including paid channel performance, CRM analysis, incrementality testing, or attribution modeling
• Expert SQL skills and advanced experience with Looker or Tableau
• Ability to explain technical analyses clearly to non-technical audiences, including senior leadership
• Experience shaping and influencing product and marketing strategy, not just executing analyses
• A proactive, ownership-driven mindset with strong organizational and prioritization skills
• 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

Desirable

• As a Staff Analyst, Product & Marketing, you will serve as a strategic analytics partner to both the Product and Marketing organizations, driving impact across the full customer journey from acquisition and conversion to retention and growth
• You will work cross-functionally with product managers, growth leads, category managers, marketing channel owners, designers, engineers, and data scientists in a fast-paced collaborative environment
• Your expertise in A/B testing, digital analytics, marketing measurement, experimental design, and predictive modeling will allow Hims and Hers to optimize the customer experience and marketing investments in equal measure
• This position will report to the Director of Product and Marketing Analytics
• 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
• Apply causal inference methods such as difference-in-differences and propensity score matching to move beyond correlation and identify what is actually driving metric movement
• Partner with Data Science to contribute to predictive models, including churn, LTV, and conversion propensity, that directly inform product and marketing decisions
• Own conversion funnel analytics end to end, identifying drop-off points, diagnosing root causes, and partnering with Product and Category teams to drive measurable improvements
• Assess paid channel performance across SEM, Social, and CRM, and translate findings into clear investment and optimization recommendations, supporting incrementality testing and attribution work
• Work cross-functionally with Data Science, Analytics Engineering, and Data Engineering teams to define tracking requirements and ensure data integrity across product and marketing workflows
• Use Python or R alongside SQL to develop scalable analytical solutions and modeling outputs that go beyond what dashboards alone can answer
• Design intuitive Looker dashboards that democratize data and elevate self-service capabilities across Product and Marketing teams
• Segment users based on demographic, behavioral, and psychographic attributes to tailor product experiences, lifecycle communications, and marketing targeting
• Champion data quality, documentation, and deliverable consistency while serving as a mentor to junior analysts
• Create and maintain KPI frameworks and measurement plans for new features and initiatives
• Conduct deep-dive analyses to answer strategic business questions, quantify opportunities, and recommend clear actions