Senior AI Insights Engineer, Quality

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Job Description: ​

Position Summary:

As an Insights Engineer at agilon health, and you will build the infrastructure, reports, and dashboards to analyze critical aspects of the business. You will be an expert leader in healthcare quality metrics and processes at agilon, including Star Ratings, HEDIS/NCQA measure logic, and the common data sources that drive their calculations. You will work in with other teams such as Finance, Clinical Analytics, and Central Operations to analyze the quality program at agilon, and develop the dashboards they need to do their daily work.

Essential Job Functions:

• Develop analytical data pipelines and production-grade dashboards to support agilon’s quality management program
• Become an expert in the complex system of quality and pay-for-performance metrics in value-based care
• Be part of an agile team working collaboratively with agilon leadership and many different cross-functional teams, including UX, Product, Technology, Operations, and our Clinician teams
• Leverage your analytical thinking to explore our datasets, test hypotheses, and provide insights on how to improve quality management

Required Qualifications:

Minimum Experience

• 4+ years experience performing data analysis and generating intuitive reports for common quality metrics in the healthcare domain: e.g. NCQA, STARs, HEDIS, risk adjustment, clinical analytics, or health economics

Education/Licensure

• Bachelor’s and/or master’s in a quantitative field, such as Computer Science, Data Science, Economics, or Mathematics.

Knowledge, Skills, and Abilities:

• Highly proficient in SQL skills (prefer Snowflake + dbt) and data modeling.
• Experience with data visualization tools (prefer Sigma).
• High attention to detail in analytical deliverables and logic, including the ability to parse complex documentation into precise SQL scripts.
• Deep understanding of quality metrics in US value-based care system, and knowledge of common healthcare concepts and data-sources.
• Intellectual curiosity and a passion for using data to solve real-world problems at scale.
• Excellent communication skills and the ability to proactively explain complex analyses to non-technical stakeholders.
• Enthusiasm for learning and adapting in a dynamic startup environment.

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Pay Range: ​

Salary range shown is a guideline. Individual compensation packages can vary based on factors unique to each candidate, such as skill set, experience, and qualifications.