About the Role:
As a Staff 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.
You Will:
• 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
You Have:
• 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 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
Preferred Qualifications:
• Experience with price testing and modeling price elasticity
• Experience with telehealth concepts
• Project management experience
• DBT, airflow, and Databricks experience
Our Benefits (there are more but here are some highlights):
• Competitive salary & equity compensation for full-time roles
• Unlimited PTO, company holidays, and quarterly mental health days
• Comprehensive health benefits including medical, dental & vision, and parental leave
• Employee Stock Purchase Program (ESPP)
• 401k benefits with employer matching contribution
• Offsite team retreats
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.