About Mathematica
Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding using data science and analytics. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development.
Mathematica offers our employees competitive salaries and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company’s growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength.
Read more about our benefits here: Benefits at a Glance .
Primary Duties And Responsibilities
Mathematica is searching for Medicaid Data Analytics Analysts with interest in Medicaid policy and programs at either the state or federal level to support current and emerging data analytics work. Medicaid data analysts will likely be connected to 1-3 projects at a time, with many projects requiring work with multidisciplinary teams and direct client contact. Projects may span across several policy and programmatic areas: Medicaid enrollment, managed care programs, value-based purchasing and alternative payment models, long-term services and supports, measures of delivery and quality of services for beneficiaries, and outcomes of innovative programs and policies.
Across All Projects, Medicaid Analysts Are Expected To
• Lead or participate actively and thoughtfully in project teams to implement, monitor, or evaluate policy and programs
• Apply rigorous analytic thinking to the collection, analysis, and interpretation of quantitative data
• Develop expertise in Medicaid data, policy, and programmatic areas
• Leverage data visualization, business intelligence platforms, and emerging artificial intelligence (AI)-enabled tools to enhance analytic efficiency, insight generation, and reporting
Specific Project Activities May Include
• Assisting with quantitative analyses using Medicaid enrollment, claims/encounter, financial and program data to support program monitoring, improvement, or evaluation
• Participating in decisions regarding analysis design and methodology
• Reviewing policy, program, and/or data documentation to develop technical specifications for analyses
• Working with developers to compile and analyze data
• Investigating data to identify data quality issues, patterns, or other findings
• Supporting the development of dashboards, data products, or visualizations using business intelligence tools (e.g., Tableau, Power BI, Amazon QuickSight)
• Applying artificial intelligence (AI) or machine learning concepts, where appropriate, to support data exploration, pattern identification, documentation, quality assurance, or workflow efficiency
• Translating analysis findings into actionable information to support clients in making data-driven decisions regarding Medicaid policies and programs
• Providing technical assistance to federal and state Medicaid stakeholders to support the implementation of data collection, monitoring, and reporting programs
• Authoring client memos, technical assistance tools, issue briefs, chapters of analytic reports, user manuals, and webinar presentations summarizing findings
Required Qualifications
• Master’s degree or equivalent in data analytics, public policy, economics, statistics, public health, data science, behavioral or social sciences, or a related field; or a Bachelors degree and equivalent experience
• Experience conducting quantitative analysis work in a health setting, with experience in Medicaid enrollment, claims, financial, or program data
• Experience using programming languages or statistical software (e.g., SQL, Python, R, SAS, Stata) and business intelligence tools to analyze and visualize complex data
• Familiarity with AI, machine learning concepts, or AI-enabled analytic tools and an understanding of their appropriate use in policy research and data analysis environments
• Excellent written and oral communication skills, including an ability to write clear and concise policy and/or technical memos and documents for diverse stakeholder audiences including program administrators and policymakers
• Demonstrated ability to work on multidisciplinary teams
• Strong organizational skills and high level of attention to detail; flexibility to manage multiple priorities, sometimes simultaneously, under deadlines
Please submit a cover letter and resume. Writing samples are helpful, but not necessary.
This position offers an anticipated base salary of $70,000 – $90,000 annually.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.
At Mathematica, we understand the importance of building relationships with colleagues. If you’re not located near one of our offices but would like opportunities to meet up with co-workers, we offer coworking spaces where available. Ask your Talent Acquisition partner for more information about this opportunity and whether it’s an option in your area.
Any offer of employment will be contingent upon passing a background check. Various federal agencies with whom we contract require that staff successfully undergo security clearance as a condition of working on the project. If you are assigned to such a project, you will be required to obtain the requisite security clearance. Additionally, if you participate in or complete the application process and are denied, Mathematica may choose to terminate your employment.
We take pride in our employees and in their commitment to excellence. We encourage staff to collaborate in developing creative solutions to difficult problems and to share the responsibility and enjoyment of carrying out complex projects. This collegial spirit has helped us earn our reputation for innovative and high-quality work.
Location: Ann Arbor, Michigan, US
Benefits:
- Health Insurance
Qualifications:
- Master’s degree or equivalent in data analytics, public policy, economics, statistics, public health, data science, behavioral or social sciences, or a related field; or a Bachelors degree and equivalent experience
- Experience conducting quantitative analysis work in a health setting, with experience in Medicaid enrollment, claims, financial, or program data
- Experience using programming languages or statistical software (e.g., SQL, Python, R, SAS, Stata) and business intelligence tools to analyze and visualize complex data
- Familiarity with AI, machine learning concepts, or AI-enabled analytic tools and an understanding of their appropriate use in policy research and data analysis environments
- Excellent written and oral communication skills, including an ability to write clear and concise policy and/or technical memos and documents for diverse stakeholder audiences including program administrators and policymakers
- Demonstrated ability to work on multidisciplinary teams
- Strong organizational skills and high level of attention to detail; flexibility to manage multiple priorities, sometimes simultaneously, under deadlines
- Various federal agencies with whom we contract require that staff successfully undergo security clearance as a condition of working on the project
Benefits:
- Mathematica offers our employees competitive salaries and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned
- As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company’s growth and financial strength
- This position offers an anticipated base salary of $70,000 – $90,000 annually
Responsibilities:
- We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding using data science and analytics
- Mathematica is searching for Medicaid Data Analytics Analysts with interest in Medicaid policy and programs at either the state or federal level to support current and emerging data analytics work
- Medicaid data analysts will likely be connected to 1-3 projects at a time, with many projects requiring work with multidisciplinary teams and direct client contact
- Projects may span across several policy and programmatic areas: Medicaid enrollment, managed care programs, value-based purchasing and alternative payment models, long-term services and supports, measures of delivery and quality of services for beneficiaries, and outcomes of innovative programs and policies
- Across All Projects, Medicaid Analysts Are Expected To
- Lead or participate actively and thoughtfully in project teams to implement, monitor, or evaluate policy and programs
- Apply rigorous analytic thinking to the collection, analysis, and interpretation of quantitative data
- Develop expertise in Medicaid data, policy, and programmatic areas
- Leverage data visualization, business intelligence platforms, and emerging artificial intelligence (AI)-enabled tools to enhance analytic efficiency, insight generation, and reporting
- Specific Project Activities May Include
- Assisting with quantitative analyses using Medicaid enrollment, claims/encounter, financial and program data to support program monitoring, improvement, or evaluation
- Participating in decisions regarding analysis design and methodology
- Reviewing policy, program, and/or data documentation to develop technical specifications for analyses
- Working with developers to compile and analyze data
- Investigating data to identify data quality issues, patterns, or other findings
- Supporting the development of dashboards, data products, or visualizations using business intelligence tools (e.g., Tableau, Power BI, Amazon QuickSight)
- Applying artificial intelligence (AI) or machine learning concepts, where appropriate, to support data exploration, pattern identification, documentation, quality assurance, or workflow efficiency
- Translating analysis findings into actionable information to support clients in making data-driven decisions regarding Medicaid policies and programs
- Providing technical assistance to federal and state Medicaid stakeholders to support the implementation of data collection, monitoring, and reporting programs
- Authoring client memos, technical assistance tools, issue briefs, chapters of analytic reports, user manuals, and webinar presentations summarizing findings
LinkedIn: Apply Here
LinkedIn: Apply Here