Data Analyst

Key Responsibilities

• Support recurring performance reporting, including daily, weekly, and monthly packages that show leadership where our programs stand.
• Build and maintain dashboards and scorecards (in Retool and BI tools) tracking leading indicators, SLA pacing, and operational performance across payer programs.
• Pull, validate, and QA data from operational systems to ensure reporting is accurate before it reaches leadership.
• Support clinical performance reporting across medication adherence, post-discharge visit completion, care gaps, and quality measures (HEDIS, Stars), surfacing the signal for clinical partners.
• Investigate missed targets, unexpected trends, data discrepancies, and reporting issues to identify root causes and improve reporting accuracy.

Data & Systems Operations

• Build, maintain, and QA workflows, lists, and properties to support Care Ops reporting and program operations.
• Maintain clean, consistent, and reporting-ready data to ensure reliable reporting and dashboards.
• Support new reporting requirements and operationalize program changes as contracts and programs evolve.

Flex to Team Priorities

• In a high-growth environment, priorities shift quickly. You'll take on new analytical and operational tasks as they emerge, such as standing up a dashboard or supporting a program launch with data, owning each one end to end and expanding the range of work you can take off the team's plate.

Requirements

• Bachelor’s degree in a related field.
• Strong Excel skills, including lookups, pivot tables, and data cleaning.
• Basic SQL knowledge or the ability to learn quickly.
• Familiarity with BI and dashboarding tools (e.g., Retool, Power BI, Tableau, or QuickSight).
• Exceptional attention to detail and data accuracy.
• Curious, eager to learn, and comfortable asking questions.
• Comfortable working with imperfect data and transforming it into clean, reliable datasets.

Preferred Qualifications

• 0–2 years of experience in analytics, data, or operations (internships, co-ops, and relevant academic projects count).
• Healthcare experience (payer, provider, or health tech); value-based care experience is a plus.
• Master's degree in a related field.
• Exposure to Python for data work (e.g., pandas, scripting, or automation) is a plus.
• Takes initiative, follows through, and owns recurring deliverables.
• Clear communicator who documents work and raises questions when needed.
• Motivated by improving outcomes for cardiology patients and providers.
• Detail-oriented with a willingness to learn healthcare and value-based care.