Data Analyst

Key Responsibilities

Performance & Operational Reporting

• 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. 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.

What You'll Achieve in Your First 90 Days

• Build a working understanding of Chamber's payer contracts and the operational, clinical, and performance metrics that support them, including how the underlying data connects and where it's stored.
• Independently run and maintain a set of recurring reports and dashboards, delivered accurately and on time with QA before publishing.
• Take ownership of at least one dashboard or scorecard end to end.
• Surface a data-quality or process finding, whether a gap, an inconsistency, or an improvement, and propose a fix that makes the team's reporting more reliable.

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.