Clicky

Director, Product Analytics

Hims & Hers

Company Website Link
Role
Analytics & Data Science
Type
Full Time
Location
US Remote
10 years
Key Skills:
SQL
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Job Description

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:

We are looking for an experienced, hands-on analytics leader to lead our Product Analytics team. In this role, you will guide a team of managers and analysts and work cross-functionally with Product, Engineering, Data Science, and Business stakeholders to deliver data-driven insights that shape our product strategy and optimize user experiences.

Your success as Director of Product Analytics will come from continuously improving our understanding of the business within the ever-evolving healthcare landscape. You will be expected to drive foundational analyses, experiment design, and metrics reviews across our breadth of product initiatives. You will work closely with senior leadership to make data-informed decisions that drive user and revenue growth.

You Will: -

Lead and grow product data analysts who will support and provide insights and direction to business stakeholders


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Lead the sophisticated design, implementation, and measurement of various experiments to understand the incremental impact of product changes and user flow updates


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Partner with Data Science and Machine Learning teams to implement Machine Learning programs across product teams to drive the business forward


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Act as a trusted advisor to product leadership by providing strategic insights and actionable recommendations


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Translate complex data into clear narratives that influence product decisions and priorities


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Partner with Product leads to identify new reporting and data requirements, document requirements, build reports, and coordinate with engineering to provide the necessary data points


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Be the subject matter expert on identifying customer trends and diagnosing data anomalies


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Contribute to and help the Analytics and Data Science group become world-class via mentoring others, contributing to cross-functional efforts, investigate new methods and continually showcase excellence in analytics outputs to others


You Have: -

10+ years of in-depth Analytics experience in partnership with Growth and Product Management departments


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Bachelor’s or Master’s degree in Computer Science, Analytics, or related field, or equivalent work experience


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Very strong communication skills. Able to effectively communicate in a clear and concise manner to various levels from early career staff to SVP level


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Experience with experiment design and A/B/n test analysis across multiple KPIs


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Ability to think through complex problems, determine proper analytical processes and procedures, independently derive conclusions and present results to the team


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Detail-oriented, attention to detail and exceptionally organized. Able to multitask, prioritize, and manage multiple projects in a fast-paced, ambiguous environment


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Experience with cross-team project management


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Expert proficiency with SQL


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Experience Python and/or R a plus


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Experience with web and app analytics platforms


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Experience with data visualization software


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Prior experience working with product machine learning implementations, causal inference, time series modeling, LTV calculations and segmentation


Preferred Experience & Skills:-

Experience with Amplitude a huge plus


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Experience with Tableau Desktop or Looker a plus


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Experience with BigQuery/Snowflake a plus


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Experience with dbt a plus


Our Benefits (there are more but here are some highlights):-

Competitive salary & equity compensation for full-time roles


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Unlimited PTO, company holidays, and quarterly mental health days


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Comprehensive health benefits including medical, dental & vision, and parental leave


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Employee Stock Purchase Program (ESPP)


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401k benefits with employer matching contribution


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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.

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