Manager - Advanced Analytics

Astrana Health, Inc.•Alhambra, CA

8d•Remote

About The Position

We are seeking a highly skilled and execution-focused Manager of Advanced Analytics to help shape and deliver our analytics strategy and roadmap. This role is hands-on and influential, focused on designing and implementing scalable data solutions, building advanced BI capabilities, and enabling actionable insights across risk adjustment, clinical operations, quality, compliance, and cost management. The ideal candidate combines strong technical expertise with the ability to guide and mentor team members while collaborating closely with cross-functional stakeholders. You will partner with data analysts, data scientists, technology teams, and business leaders to design, implement, and optimize advanced analytics solutions that support internal and external clients. With over a million managed lives and terabytes of healthcare data generated, your contributions will be critical to driving data-driven decision making and improving patient outcomes.

Requirements

Bachelor’s or Master’s degree in computer science, data science, analytics, statistics, or related field.
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.

Nice To Haves

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.

Responsibilities

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.