Staff Data Analyst, Hims & Hers

• 10+ 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 in a product environment
• Experience working with subscription-based business models and metrics
• Extensive experience working with data engineering teams and production data pipelines
• Experience in data modeling and statistics; strong knowledge of experimental design + statistical inference
• Expert SQL skills
• Advanced experience with data visualization and BI tools such as Looker or Tableau
• Experience programming in Python, SAS, or R
• Development and training of predictive models
• Ability to explain technical analyses to non-technical audiences, both peers and executives
• Experience to shaping and influencing product strategy; not just executing analyses
• A strong work ethic and proactive mindset; understanding a problem in detail and owning the resolution
• Strong organizational skills with the ability to manage long-term projects from end to end

Desirable

• As a Staff Data Analyst on Product Analytics, you will shape the customer experience through high-quality experimental design and hypothesis testing
• You will work cross-functionally with product managers, growth leads, designers, and engineers in a fast-paced collaborative environment
• Your knowledge of A/B testing and digital analytics, combined with your background in experimental design, will allow Hims and Hers to build best-in-class customer experiences
• This position will report to the Sr Director of Product Analytics
• Provide thought leadership and strategic partnership to your product stakeholders, influencing roadmap decisions with data-driven insights
• Own the experimentation strategy for your product team, including test design, success metrics, sample-size estimation, guardrails, and results interpretation
• Work cross-functionally to define tracking requirements and ensure data integrity; lead analytics instrumentation
• Design intuitive dashboards in Looker that democratize data and elevate data self-service capabilities
• Create and maintain KPI frameworks and measurement plans for new features and initiatives
• Champion data quality, documentation, and deliverable consistency, serving as a mentor to junior analysts
• Identify causal relationships using advanced statistical modeling, quasi-experimental methods, and predictive modeling
• Segment users based on demographic, behavioral, and psychographic attributes to tailor product experiences and lifecycle communications
• Conduct deep-dive analyses to answer strategic business questions, quantify opportunities, and recommend clear actions