Lead Data Analyst, Operations, EMR

Hims & Hers Health, Inc. (better known as 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 revolutionizing telehealth for providers and their patients alike. Making personalized solutions accessible is of paramount importance to Hims & Hers and we are focused on continued innovation in this space. Hims & Hers offers nonprescription products and access to highly personalized prescription solutions for a variety of conditions related to mental health, sexual health, hair care, skincare, heart health, and more.

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 and forhers.com, or visit our investor site. 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 Lead Analyst, EMR you will help evolve our electronic medical record (EMR) product to the next level. Your knowledge of experimentation, statistical analyses, and cross-functional efforts combined with your excellent communication skills will determine where and how to improve our internal & external customer experiences. In particular, you will be challenged to identify positive and negative changes in our marketplace while working with the team to hypothesize and identify underlying root cause(s) of key metric fluctuations. At the end of the day, you are passionate about metrics and the performance of the business.

You Will:

• Own analytics for the EMR Product: conduct data analysis to support new product launches, drive improvements to existing products and inform product roadmap while operating cross-functionally across product, engineering, operations, and other stakeholders
• Be a thought leader and close partner to product - refine ambiguous questions, outline 2nd and 3rd order effects, and generate new hypotheses through a deep understanding of the data, our customers, and our business
• Direct experimental design: identify parameters, determine success metrics, perform data validation and monitor progress
• Define how our teams measure success, by developing Key Performance Indicators and other user/business metrics
• Regularly present to senior leadership and the product organization on the trends and insights into the changes in the business. This includes the decomposition of the drivers of those changes and recommendations on actions to improve marketplace performance.
• Design and …