Responsibilities:

• Lead the model/data analytics team and provide guidance and direction
• Provide high level expertise in applicable public health disciplines to collect, abstract, code, analyze, or interpret scientific data contained within information systems and databases related to public health
• Analyze program data using statistical and relational database software; research contents, limitations, and potential uses of all available data sets relevant to assigned task areas
• Develop, update, and maintain measures/metrics to assess identify noncompliance and FWA trends and pattern among model participants
• Develop documentation for all analyses to include storage location of all files (i.e., program code, data sets, output); thoroughly document program code and follow processes or SOPs in archiving data sets when not in use
• Collaborate with other members of the analytic group to develop, update or maintain the data analytics plan, check program code for adherence to specifications and output for correct results
• Provide technical support to customers including answering questions, trouble-shooting problems and assisting in modification of program code or metrics
• Define and analyze complex data, develop visualizations, and construct compelling presentations for various audiences
• Design and work with team to design/create effective and visually appealing data reports
• Review sampling and extrapolation methodologies employed by other contractors to determine if analyses were appropriate, correct, and replicable

Requirements:

• Education: Master's degree required in Statistics, Economics, Healthcare Administration, Public Health or related field
• 5+ plus years’ experience conducting complex analysis of health care claims (Part A, Part B, Part C, and/or Part D), electronic medical records, or enrollment data
• 3 plus years’ experience of SAS programming proficiency (data step processing, developing and calling SAS macros, and running statistical procedures), reporting and expertise in Excel
• 3 years’ experience using data management and visualization tools such as SQL, Tableau, Qlik, R, Python, or Power BI. Experience in predictive modeling, deep analytics, AI/ML preferred

EEO Employer:

RELI Group is an Equal Employment Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity or expression, age, genetic information, or any other basis protected by law, ordinance, or regulation.

HUBZone:

RELI Group is an established SBA certified HUBZone and 8(a) small business. We encourage all candidates who live in a HUBZone to apply. You can check to see if your address is located in a HUBZone by accessing the SBA HUBZone Map.

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