Healthcare Data Analytics Manager (CMH Health)
About The Position
Milliman is seeking a technically savvy, analytically strong Healthcare Data Analytics Manager to manage analytics and technology projects and coach and mentor junior analytical staff. The role focuses on delivering healthcare analytics to a variety of healthcare entities and requires strong individual contribution to client work, disciplined technical execution, and sound judgment in developing and communicating analytic solutions. The manager owns defined workstreams, participates in peer review, contributes to team learning, and communicates clear recommendations that connect analysis to business decisions. The stated annual billable expectation is approximately 1,500 hours, with time allocated primarily to client support and project management, as well as training and coaching, sales support, research, and continuing education. The manager leads analytics and technology projects from data ingestion through delivery; designs and optimizes processes for large healthcare datasets; oversees data processing and quality; builds models, dashboards, and data pipelines; and collaborates with consultants, actuaries, and project managers to deliver client insights. The role also includes reviewing technical work, mentoring staff, improving processes through automation, cloud enablement, and AI integration, and participating in client meetings and presentations, with occasional travel. The position is preferred to be on-site at Milliman's Brookfield, Wisconsin office, but remote candidates will be considered. Applicants must be legally authorized to work in the United States without current or future immigration support or sponsorship from Milliman. The expected application deadline is December 13, 2026.
Requirements
- Bachelor’s degree required.
- 10 or more years of experience in healthcare data analytics or a related technical analytics role.
- Advanced proficiency with SQL and Microsoft Excel for data analysis, validation, and automation.
- Strong programming skills in Python, R, or other analytical languages.
- Experience with data visualization and reporting tools such as Power BI, Tableau, or R Shiny.
- Solid understanding of healthcare data structures, including claims, eligibility, and provider data.
- Familiarity with Medicare, Medicaid, and Commercial medical and pharmacy data processing strategies.
- Familiarity with Milliman MedInsight and experience with other Milliman tools such as HCG Grouper, MARA, and Global RVUs.
- Proven ability to lead multiple projects simultaneously while mentoring and developing junior team members.
- Experience with cloud data technologies such as Azure Data Factory, Databricks, Snowflake, AWS Redshift, or similar.
- Deep understanding of database architecture and large-scale healthcare data environments.
- Strong analytical thinking and ability to translate complex data into actionable insights.
- Excellent communication skills, including the ability to explain technical concepts to non-technical audiences.
- Strong organization and attention to detail, with the ability to manage competing priorities.
- Collaborative, proactive leadership style focused on mentorship and knowledge-sharing.
- Accountability for quality, timelines, and client satisfaction.
- Must be legally authorized to work in the United States without the need for immigration support or sponsorship from Milliman now or in the future.
Nice To Haves
- A degree in Computer Science, Management Information Systems, Computer Engineering, Math, Actuarial Science, Data Analytics, or a related field is preferred.
- Exposure to AI or Generative AI tools for data analysis, automation, or insight generation.
Responsibilities
- Lead and manage analytics and technology projects from data ingestion through delivery.
- Design, develop, and optimize data processes and workflows supporting large healthcare datasets.
- Perform and oversee ETL, validation, and transformation tasks for claims, eligibility, and pharmacy data.
- Guide project teams through the data-to-deliverable lifecycle, ensuring accuracy and efficiency.
- Build analytical models, dashboards, and data pipelines to support consulting engagements.
- Collaborate with consultants, actuaries, and project managers to interpret results and deliver client insights.
- Review and approve technical work from peers and junior analysts to ensure quality standards are met.
- Mentor, coach, and delegate to analytical staff to strengthen their technical and professional development.
- Contribute to innovation and process improvement, including automation, cloud enablement, and AI integration.
- Participate in client meetings and presentations, occasionally requiring travel.
- Own defined workstreams, participate in peer review, contribute to team learning, and communicate recommendations to clients and internal stakeholders.
Benefits
- Medical, dental, and vision coverage for employees, dependents, and domestic partners.
- Employee Assistance Program (EAP).
- 401(k) plan with company matching and profit-sharing contributions.
- Discretionary bonus program.
- Flexible Spending Accounts for dependent care, transportation, and eligible medical expenses.
- Paid time off accruing from the first day of work; full-time employees accrue 15 days per year.
- A minimum of 10 observed holidays per year.
- Adoption and fertility assistance.
- Up to 11 weeks of paid parental leave for eligible employees.
- Life insurance and AD&D, with premiums covered by Milliman.
- Short-term and long-term disability coverage, paid by Milliman.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
