Lead Data Analyst, Hims & Hers

• 8+ years of analytics experience
• 5+ years of experience in A/B testing
• Experience working with subscription metrics
• A strong work ethic and the drive to learn more and understand a problem in detail
• Strong organizational skills with an aptitude to manage long-term projects from end to end
• Expert SQL skills
• Extensive experience working with data engineering teams and production data pipelines
• Experience programming in Python, SAS, or R
• Experience in data modeling and statistics with a strong knowledge of experimental design and statistical inference
• Development and training of predictive models
• Advanced knowledge of data visualization and BI in Looker or Tableau
• Ability to explain technical analyses to non-technical audience

Desirable

• As a Manager of Product Analytics, you and your team 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 Senior Manager of Product Analytics
• Design experiments and provide actionable and scalable recommendations from the results
• Deliver in-depth analyses that are statistically sound and easily understood by non-technical audiences
• Work with your team to curate the experimentation roadmap for the product and growth teams
• Enable data self-service by designing templates that are easy to understand using relevant KPIs
• Collaborate across analytics, engineering, and growth teams to improve the customer experience
• Distill your knowledge of tests into playbooks that can be implemented and utilized to help us transform our digital experience
• Identify causal relationships in our data using advanced statistical modeling
• Segment users based on demographic, behavioral, and psychographic attributes to tailor product experiences and lifecycle communications
• Align analytics initiatives with broad business objectives to build long-term value
• Conduct deep-dive analyses to answer specific business questions and provide actionable recommendations to product and growth team