
Senior Long-Term Care – Rate Setting Analyst
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in Wisconsin.
• Oversee the creation, refinement, and documentation of rate-setting models for long-term care programs.
• Employ sophisticated analytical methods and extensive datasets to assess costs, trends, and reimbursement outcomes.
• Evaluate how modifications in rates, policy updates, and cost drivers impact Managed Care Organizations (MCOs).
• Convert business requirements into precise data, system, and policy specifications.
• Investigate reimbursement methodologies, program operations, and the long-term care landscape to suggest enhancements.
• Assist in the development and execution of capitated rate-setting methodologies for contracted MCOs.
• Confirm the accuracy and adequacy of rates generated by existing models.
• Track changes in State and Federal policies, particularly concerning Wisconsin Medicaid, and evaluate their operational and financial implications.
• Collaborate with internal teams, business leaders, and external stakeholders to foster transparency and consistency in rate-setting practices.
• Draft written analyses, presentations, and recommendations for leadership, clients, and technical teams.
• A minimum of 6 years of experience in business analysis, financial modeling, health policy analysis, Medicaid policy analysis, public administration, or public sector program evaluation.
• Proficient in data analysis, with an understanding of how rate-setting decisions influence Managed Care Organizations (MCOs).
• Experience in interpreting public policy, ideally within the healthcare sector and/or Wisconsin Medicaid.
• Familiarity with the Long-Term Care (LTC) ecosystem, including program structures and reimbursement frameworks.
• Advanced proficiency in Excel and/or R, SAS, STATA, or SPSS.
• Strong abilities in statistical analysis, quantitative modeling, and data interpretation.
• Excellent communication skills to convey complex analytical findings into clear, actionable insights.
• Capability to work autonomously, manage timelines, and juggle multiple projects simultaneously.
• Bachelor's degree in Public Administration, Public Policy, Economics, Statistical Analysis, Healthcare Administration, Finance, or a related discipline.
• Experience in evaluating government, business, or healthcare policies that affect both internal and external stakeholders.
• Familiarity with Medicaid programs, rate-setting methodologies, or capitated payment models.
• Proficient in analyzing large datasets and creating quantitative or statistical models.
• Ability to compose and present comprehensive reports, analyses, and policy summaries.
• Strong problem-solving abilities and a history of recommending enhancements to business or technical processes.
• Experience with SQL or data warehousing tools.
• Knowledge of State/Federal regulations impacting long-term care and Medicaid operations.
• Professional experience in a state Medicaid agency, state policy office, healthcare policy organization, or government-funded healthcare program.
• Experience working for or directly supporting Managed Care Organizations (MCOs), including an understanding of managed care financing and oversight.
• Understanding of Medicaid policy, healthcare reimbursement methodologies, actuarial concepts, and capitation rate development.
• Experience in assessing the financial and operational effects of capitation rates, rate adjustments, and value-based payment models.
• Must participate in screenings, interviews, and meetings from a quiet location with a reliable internet connection.
• Video camera usage is required during interviews and the first week of orientation.
• A photo is required during screening for verification throughout the recruitment process.
• Flexible working arrangements.
• Opportunities for learning and career advancement.
• Generous and flexible vacation policy.
• 401(k) employer matching.
• Comprehensive health benefits.
• Educational support.
• Leadership and technical development academies.
• Base pay may vary depending on geographic location, internal equity, job-related knowledge, skills, and experience.
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