Senior Data Analyst, Care

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
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