Lead Data Analyst - Product

​​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, 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

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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