hims & hers

Compensation

Full Description

Job Description: • Serve as a technical expert and end-to-end owner of care experience data, core metrics, and business reporting • Partner closely with Analytics Engineering to build and improve complex data models that unify data across the patient experience lifecycle. • Partner with Care Experience, Clinical, Product, and Engineering teams to define, track, and improve core business and care KPIs • Investigate care performance trends, operational issues, and data anomalies, and turn findings into clear, actionable recommendations • Build, automate, and maintain dashboards and reports that support daily Care operations and long-term planning • Enable and promote self-service analytics, empowering Care stakeholders across various data exploration and reporting initiatives • Design, run, and analyze experiments and pilots (such as A/B tests and process changes) to measure the impact of care and operational initiatives • Present complex analytical findings to a wide range of audiences • Contribute to the evolution of Care Analytics best practices, including metric definitions, reporting standards, and data governance Requirements: • 5+ years of experience as an analyst, including writing complex SQL queries, building dashboards in business intelligence tools, performing analysis in Python and/or R, and communicating insights to senior stakeholders • Bachelor’s degree in Business, Computer Science, Engineering, or a related field, or equivalent practical experience • Strong business acumen and stakeholder partnership skills, with the ability to understand business problems, define the right analytical approach, execute analyses, and translate insights into actionable recommendations • Strong SQL skills are required, including the ability to write and optimize complex queries, collaborate on data model design, and own end-to-end analytical projects • Experience using dbt for data modeling and transformation • Experience using Looker to build dashboards and reports; experience defining shared metrics and business logic in LookML is strongly preferred • Advanced Python skills for data manipulation and analysis (e.g., Jupyter notebooks, pandas, scikit-learn) are preferred • Familiarity with statistical experimentation and A/B testing principles • Results-oriented team player with strong project management and communication skills Benefits: • 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