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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

SQLPythonRdata modelingdata analysisA/B testingdashboard buildingdata governancebusiness intelligencedata manipulation

Soft skills

business acumenstakeholder partnershipproject managementcommunicationanalytical thinkingproblem-solvingteam playerresults-orientedcollaborationpresentation skills