Position Description: 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: https://www.mathematica.org/career-opportunities/benefits-at-a-glance About this opportunity: This is an entry-level position that will support teams conducting analytics, program monitoring, and research across a wide range of Medicaid policy areas. The position is ideal for a candidate who is interested in developing a career at the intersection of Medicaid policy and data.  Medicaid Analytics Associates will perform tasks in the following areas: * Develop technical specifications and requirements for analyses and research studies that use federal Medicaid data. * Develop and update code sets used to identify key Medicaid populations or services using medical and pharmacy claims data. * Conduct background research on Medicaid program and policy issues. * Draft written documents explaining data and methodology that are understandable by non-technical audiences. * Assess the quality of federal Medicaid data and investigate potential data quality issues. * Use programming languages, statistical computer packages, or business intelligence tools to develop basic tabulations or visualizations that answer policy and program questions or inform research study design. Position Requirements: * A bachelor's degree with a strong academic record that includes courses in economics/social science, mathematics/statistics, computer science, or public health. * Academic or work experience performing data analysis using a programming language or statistical computer package (e.g., SQL, Python, R, SAS, or Stata) or developing data visualizations using a business intelligence tool (e.g., Tableau, Power BI, Amazon QuickSight). * Strong organizational skills and the ability to work with others. * An interest in being a member of a team engaged in Medicaid research. Please submit a cover letter and resume. Writing samples are helpful, but not necessary. You will be asked to attach these materials during the online application process. Please click the "Apply Now" icon after the position description to attach your documents. Staff who contribute to Health-related projects or proposals will eventually work with our largest client, Centers for Medicaid & Medicare Services (CMS). Most staff working on CMS contracts will be required to complete a successful background investigation including the Questionnaire for Public Trust Position SF-85. Staff that are unable to successfully undergo the background investigation will need to be able to obtain work outside CMS. Staff will work with their supervisor to get re-staffed, however if they are unable to do so it may result in employment termination due to lack of work. Available locations: Washington, DC; Princeton, NJ; Cambridge, MA; Ann Arbor, MI; Chicago, IL; Oakland, CA; Remote This position offers an anticipated base salary of $55,000 - $61,000 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.