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Manager - Advanced Analytics
Job in
Jacksonville, Duval County, Florida, 32290, USA
Listed on 2026-10-03
Listing for:
Remote Jobs
Full Time
position Listed on 2026-10-03
Job specializations:
-
IT/Tech
Data Analyst, Business Systems & Technology Analysis, Data Science Manager, Data Engineering
Job Description & How to Apply Below
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.
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.
- 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.
- Hands‑on experience supporting HEDIS submissions, rate optimization, or NCQA-related analytics workflows
- Experience in Medicare Risk Adjustment analytics, HCC/RAF gap analysis, encounter data, or revenue optimization programs
- Demonstrated healthcare payer analytics leadership with clear examples of project ownership and measurable business impact
- Excellent stakeholder management skills, working across providers, payers, and internal teams.
- Knowledge of SDLC best practices, including version control,…
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