Hims & Hers Health, Inc. (better known as Hims & Hers) is a multi-specialty telehealth platform building a virtual front door to the healthcare system. Hims & Hers connects consumers to licensed healthcare professionals, enabling people to access high-quality medical care—from wherever is most convenient—for numerous conditions related to primary care, mental health, sexual health, skincare, and more. Launched in November 2017, the platform also offers thoughtfully created and curated health and wellness products. With products and services available across all 50 states and Washington, D.C., Hims & Hers’ mission is to make it easier for all Americans to access affordable care and treatment for conditions that impact their daily lives. In January 2021, the company was listed on the NYSE at an initial valuation of $1.6 billion and is traded under the ticker symbol “HIMS”. To learn more about our brand and offerings, you can visit forhims.com and forhers.com.

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.

You Will

• 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

You Have

• 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

A Big Plus If You Have

• Advanced degree in Statistics, Mathematics, or a related field
• Experience with price testing and modeling price elasticity
• Experience with telehealth concepts
• Project management experience
• DBT, airflow, and Databricks experience