Lead Data Analyst, Care Analytics
Hims & HersAbout the role
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 Lead Analyst, Care Analytics 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 build best-in-class self-service dashboards using a mixture of analytical and visualization techniques to influence business and product decisions
Collaborate with product, engineering, data engineering, and analytics to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines
You Have:
Deep understanding of statistical methods and experiment designs for analytical problems
5+ years of using SQL to extract and manipulate data
3+ years of quant analysis and analyzing A/B/n and multivariate experiments
1+ year of coding in Python or R
Advanced knowledge of visualization tools such as Looker or Tableau
Comfort with ambiguity, evolving priorities, and an ability to operate autonomously
Ability to narrate insights for complex problems to non-technical audiences from frontline operators up to and including executives
Preferred Experience & Skills:
Experience in two-sided marketplaces, operations, and/or healthcare
Project management experience
Model development and training (Predictive Modeling)
DBT, airflow, and Databricks experience
Experience operating cross-functionally with globally distributed teams
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)
401k benefits with employer matching contribution
Offsite team retreats
We are
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