​​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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