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Milliman

Data Analytics Manager – Health Research Team

Milliman

Data Analytics Manager leading a high-performing team of data analysts in healthcare data and analytics services at Milliman. Responsible for data quality, product development, and project support.

Posted 6/6/2026full-timeChicago • Illinois • 🇺🇸 United StatesMid-LevelSenior💰 $104,900 - $199,065 per yearWebsite

Tech Stack

Tools & technologies
ETLPythonSQL

About the role

Key responsibilities & impact
  • Lead, mentor, and develop a team of 2–4 data analysts, fostering a collaborative and high-performance work environment
  • Set clear goals and priorities for the team, ensuring timely and accurate delivery of all assigned work
  • Conduct regular one-on-ones, performance reviews, and professional development planning for direct reports
  • Manage workload distribution across the team to balance competing priorities and deadlines
  • Partner with the PMO team to develop comprehensive project plans, define and document key deliverables, and provide clear, timely project status updates to senior leadership
  • Own and oversee the data quality analysis phase across all data production workflows, ensuring data meets established standards before downstream use
  • Develop, document, and continuously improve data quality frameworks, checklists, and standard operating procedures
  • Identify, investigate, and resolve data anomalies, discrepancies, and quality issues in health claims and enrollment data
  • Partner with project managers, ETL developers and data engineers to communicate data quality findings and support remediation efforts
  • Establish and maintain data quality metrics, scorecards, and dashboards to monitor ongoing pipeline performance and communicate findings to stakeholders at all levels
  • Lead the team in producing product development deliverables on schedule and to specification
  • Collaborate with senior analysts, actuaries, and health consultants to ensure deliverables align with methodological and business requirements
  • Review and validate team output prior to submission, ensuring accuracy, completeness, and consistency
  • Support internal deliverables for client-facing and research projects. Coordinating with project leads to understand requirements and timelines
  • Assist in the preparation of data summaries, analytical outputs, and supporting documentation for internal and external stakeholders
  • Ensure all project deliverables meet data governance, compliance, and contractual requirements
  • Proactively identify opportunities to streamline and automate data quality and production workflows, reducing manual effort and improving efficiency
  • Implement best practices for quality assurance and testing, including QAT and UAT support
  • Stay current with emerging tools, technologies, and methodologies relevant to health data analytics, recommending and championing improvements where appropriate
  • Collaborate with HRT finance, operations, and project management teammates through providing technical and healthcare data expertise to support cross-functional initiatives.

Requirements

What you’ll need
  • Bachelor's or Master's degree in Mathematics, Statistics, Actuarial Science, Public Health, Computer Science, or a related quantitative field
  • 4+ years of experience analyzing large databases of health claims and enrollment data (e.g., administrative/closed claims data)
  • 2+ years of experience in a lead or supervisory role, with demonstrated ability to manage and develop analytical talent
  • 2+ years of experience performing or overseeing data quality analysis in a production data environment
  • Demonstrated proficiency in multiple health care data analytics topics, including but not limited to pricing, provider contracting, Medicare Advantage bids, risk scores, clinical quality, health care economics, reserving, or financial reporting
  • Robust business acumen across at least two healthcare lines of business, such as Individual, Employer Group, Medicare, Part D, Medicaid, or Dental
  • Advanced proficiency in SQL for data querying, validation, and analysis
  • Hands-on experience with Python, SAS, or R for data analysis and workflow automation
  • Proficiency in Excel, including advanced formulas, pivot tables, and data validation techniques
  • Solid understanding of ETL pipelines, data warehousing concepts, and data governance best practices
  • Exceptional attention to detail with an unwavering commitment to data accuracy and integrity
  • Excellent organizational and project management skills, with the ability to manage competing priorities in a fast-paced environment.

Benefits

Comp & perks
  • Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners.
  • Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges.
  • 401(k) Plan – Includes a company matching program and profit-sharing contributions.
  • Discretionary Bonus Program – Recognizing employee contributions.
  • Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses.
  • Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis.
  • Holidays – A minimum of 10 observed holidays per year.
  • Family Building Benefits – Includes adoption and fertility assistance.
  • Paid Parental Leave – Up to 12 weeks of paid leave for employees who meet eligibility criteria.
  • Life Insurance & AD&D – 100% of premiums covered by Milliman.
  • Short-Term and Long-Term Disability – Fully paid by Milliman.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data analysisdata quality analysisSQLPythonSASRExcelETLdata warehousingdata governance
Soft Skills
leadershipmentoringorganizational skillsproject managementattention to detailcommunicationcollaborationproblem-solvingtime managementanalytical thinking