​​About the Role:

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, and marketing managers 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:

• Build best-in-class customer experiences by testing into sticky product experiences

• Build business-facing dashboards and do in-depth analyses that state both the statistical significance and the business impact of an experiment

• Work with your team to define and 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

• Define the success of tests as well as recommended improvements to the product from the results

• Collaborate cross-functionally across analytics teams, engineering teams, and the growth team to improve the customer experience

• Distill our knowledge of  tests into playbooks, that can be implemented and utilized to help us transform our digital experience

• Segment users based on demographic, behavioral, and psychographic attributes to tailor product experiences and lifecycle communications

• Partner with cross-functional teams including product, engineering, growth, and finance to align analytics initiatives with business objectives

• Conduct deep-dive analyses to answer specific business questions and provide actionable recommendations to product, marketing, and operational teams

You Have:

• 5+ years of analytics experience

• 4+ years of experience in A/B testing

• Experience working with subscription metrics

• Experience working with CRM data and lifecycle communication

• 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

• Strong SQL skills 

• Expert working with GitHub

• Experience programming in Python, SAS, or R 

• Experience in data modeling and statistics with a strong knowledge of experimental design and statistical inference 

• Advanced knowledge of data visualization and BI in Looker or Tableau

• Ability to explain technical analyses to non-technical audiences

A Big Plus If You Have:

• 6+ years of analytics experience

• Advanced degree in Statistics, Mathematics, or a related field

• Experience with incentives and loyalty programs

• Experience with price testing and modeling price elasticity

• Experience with telehealth concepts

• Project management experience 

• Extensive experience working with Data Engineering

• Model development and training (Predictive Modeling)

• 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)

• Employee discounts on hims & hers & Apostrophe online products

• 401k benefits with employer matching contribution

• Offsite team retreats

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