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.
Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit hims.com/about and hims.com/how-it-works . For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals.
About the Role:As a Staff Data Analyst on Product Analytics, you 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 Sr Director of Product Analytics.
You Will:Provide thought leadership and strategic partnership to your product stakeholders, influencing roadmap decisions with data-driven insights
Own the experimentation strategy for your product team, including test design, success metrics, sample-size estimation, guardrails, and results interpretation
Work cross-functionally to define tracking requirements and ensure data integrity; lead analytics instrumentation
Design intuitive dashboards in Looker that democratize data and elevate data self-service capabilities
Create and maintain KPI frameworks and measurement plans for new features and initiatives
Champion data quality, documentation, and deliverable consistency, serving as a mentor to junior analysts
Identify causal relationships using advanced statistical modeling, quasi-experimental methods, and predictive modeling
Segment users based on demographic, behavioral, and psychographic attributes to tailor product experiences and lifecycle communications
Conduct deep-dive analyses to answer strategic business questions, quantify opportunities, and recommend clear actions
10+ years of experience in analytics, data science, or a related quantitative field
Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related field
5+ years of experience designing, executing, and analyzing A/B tests in a product environment
Experience working with subscription-based business models and metrics
Extensive experience working with data engineering teams and production data pipelines
Experience in data modeling and statistics; strong knowledge of experimental design + statistical inference
Expert SQL skills
Advanced experience with data visualization and BI tools such as Looker or Tableau
Experience programming in Python, SAS, or R
Development and training of predictive models
Ability to explain technical analyses to non-technical audiences, both peers and executives
Experience to shaping and influencing product strategy; not just executing analyses
A strong work ethic and proactive mindset; understanding a problem in detail and owning the resolution
Strong organizational skills with the ability to manage long-term projects from end to end
Experience with price testing and modeling price elasticity
Experience with telehealth concepts
Project management experience
DBT, airflow, and Databricks experience
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
We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. If you're excited about this role, we encourage you to apply—even if you're not sure if your background or experience is a perfect match.
Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at [email protected] and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address.
To learn more about how we collect, use, retain, and disclose Personal Information, please visit our Global Candidate Privacy Statement.
Top Skills
Similar Jobs
What you need to know about the Colorado Tech Scene
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

_0.png)

