Staff Analyst, Product

Staff Analyst, Product Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve. Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit hims.com/about http://hims.com/about and hims.com/how-it-works http://hims.com/how-it-works . For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals http://www.hims.com/careers-professionals. 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: - 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 PREFERRED QUALIFICATIONS: - Experience with price testing and modeling price elasticity - Experience with telehealth concepts - Project management exp ... (truncated, view full listing at source)