Lead Data Analyst, Hims & Hers

• 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

Desirable

• 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
• 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