Manager - Advanced Analytics

What You'll Do

• Contribute to the design and execution of Astrana Health’s enterprise analytics roadmap aligned with growth and value-based care objectives.
• Lead the development of scalable analytics solutions and BI dashboards using tools such as Databricks and Power BI.
• Implement and maintain strong data governance and development practices to ensure data accuracy, compliance, and trust.
• Build customized reports and dashboards tailored to functional and executive stakeholders.
• Partner with business units like Risk Adjustment and Quality to identify analytical opportunities, translate business needs into technical solutions, and deliver insights with measurable impact.
• Support standardization and optimization of reporting/analytics capabilities across teams.
• Mentor analysts and engineers, fostering technical excellence and a collaborative team environment.
• Manage project timelines, deliverables, and stakeholder expectations while communicating technical concepts to non-technical audiences.
• Promote best practices in analytics, data engineering, and BI development.
• Lead and mentor a team of analytics professionals supporting HEDIS quality measurement and Risk Adjustment Factor (RAF) analytics.
• Own end-to-end execution of key deliverables: HEDIS measure calculation, gap-to-goal reporting, compliance rate optimization, and RAF accuracy analytics across multiple lines of business
• Partner with business stakeholders (Clinical Operations, Quality Improvement, Finance) to translate requirements into scalable analytic solutions and drive actionable insights.
• Establish QA protocols and ensure data integrity for all reporting deliverables.
• Drive improvements to Star Ratings performance and risk score accuracy through advanced analytics and process optimization.
• Partner with Data Engineering and IT to enhance data infrastructure, implement new measures, and resolve source data quality issues.
• Conduct performance reviews and set development goals, to build team strength.

Qualifications

• Bachelor’s or Master’s degree in computer science, data science, analytics, statistics, or related field.
• At least 6 years of experience in data analytics and engineering, with at least 2 years in a technical lead or mentorship role.
• Expertise with modern data stacks including Databricks, SQL, Azure, Power BI, and Python.
• Strong understanding of value-based care analytics, risk adjustment, quality analytics (HEDIS) utilization management, finance, and claims.
• Experience working with healthcare datasets and measures such as HCC, HEDIS, and clinical analytics.
• Ability to translate complex data into actionable insights for clinical and operational teams.
• Experience in managing quality improvement initiatives and member outreach programs to close care gaps.
• Strong understanding of EHR, claims, and supplemental data integration for quality reporting.
• Excellent stakeholder management skills, working across providers, payers, and internal teams.
• Knowledge of SDLC best practices, including version control, testing, and CI/CD.
• Excellent communication and stakeholder management skills with the ability to bridge technical and business perspectives.
• Ability to thrive in a fast-paced, evolving environment and lead cross-functional initiatives.

• Thrive in a fast-paced environment and enjoy leading teams to solve complex data challenges.
• Are passionate about mentoring and growing the next generation of data engineering talent.
• Have a bias for action and a commitment to delivering high-quality solutions with measurable impact.
• Bring a collaborative, team-first mindset to everything you do.

Environmental Job Requirements and Working Conditions

• This position is remotely based in the U.S.
• The total compensation target pay range for this role is: $160,000 - $170,000. The salary range represents our national target range for this role.