Lead Data Analyst, Product - Remote

Overview

Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve.

In Short

• 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 teams

Requirements

• 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 audiences

Benefits

• 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)
• 401k benefits with employer matching contribution
• Offsite team retreats