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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