Healthcare Data Analyst (Medicaid Finance & Policy)

Milliman•Chicago, IL
•$71,700 - $131,905•Remote

About The Position

Milliman’s Medicaid Finance and Policy Practice is seeking a Healthcare Data Analyst to provide analytical support for healthcare provider payment transformation engagements. Projects may include reimbursement methodology design, rate setting, and program funding strategies across hospital, physician and other practitioner, nursing facility, behavioral health, and home and community-based services. The position focuses on technical analytical work and is designed to develop strong technical depth while leaving open opportunities for broader leadership. The role will not initially include client-facing responsibilities. Over time, successful team members may have opportunities to manage projects, work directly with clients, mentor or manage colleagues, or pursue a combination of these paths. The position is remote. Being located in Seattle or Chicago is a plus. The posting is anticipated to close on November 20, 2026. Applicants must be legally authorized to work in the United States without current or future immigration support or sponsorship from Milliman.

Requirements

  • Bachelor’s degree or higher.
  • At least 5 years of experience analyzing large data sets.
  • Experience using database management and statistical programming tools, including SAS, SQL, or Python.
  • Ability to write or learn SAS code without point-and-click user interfaces.
  • Interest and aptitude for detail-oriented analytical work.
  • Ability to communicate technical information and concepts effectively, verbally and in writing.
  • Ability to conduct and summarize research.
  • Advanced Excel skills for data analysis, potentially including SumIfs, Index/match combinations, nested if statements, and macro use and development up to full VBA coding.
  • Experience in a healthcare-related field, specifically analyzing Medicaid claims.
  • Strong problem-solving skills, including troubleshooting code, identifying root causes, and independently resolving issues.
  • Legal authorization to work in the United States without the need for immigration support or sponsorship from Milliman now or in the future.

Nice To Haves

  • Experience with SQL, Python, and/or Databricks is strongly preferred.
  • Experience providing consulting services to state Medicaid or other health and human services agencies, or to other public or private healthcare-related entities, is a plus.
  • Being located in Seattle or Chicago is a plus.

Responsibilities

  • Analyze healthcare data, including claims datasets for hospital, physician, and other medical services; service-related trend data; provider cost data; and publicly available data such as Bureau of Labor Statistics data.
  • Design, develop, and use data models.
  • Review, evaluate, and summarize data model output.
  • Assist with Medicaid policy research and analysis.
  • Draft technical documentation of work performed, client reports, and PowerPoint presentations.
  • Review the work of others to support Milliman’s quality control processes.

Benefits

  • Medical, dental, and vision coverage for employees, dependents, and domestic partners.
  • Employee Assistance Program offering confidential support for personal and work-related challenges.
  • 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, with prorated accrual for employees working less than full-time.
  • At least 10 observed holidays per year.
  • Adoption and fertility assistance through family building benefits.
  • Up to 11 weeks of paid parental leave for eligible employees.
  • Life insurance and AD&D premiums fully covered by Milliman.
  • Short-term and long-term disability coverage fully paid by Milliman.
  • Skills training, career development, and access to learning and mentoring opportunities.
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