Responsibilities:

• Develop and execute a range of statistical analyses to support both survey and non-survey datasets. This could include descriptive analysis, multivariate regression, predictive models, trend analysis, cluster analysis, and other approaches
• Apply established methods, modeling techniques, and procedures in conducting analysis to improve sample surveys and to evaluate data collection, reduction, and processing
• Write SAS code and perform validation of codes. Perform migrations and verifications
• Conduct parallel coding and validation to ensure accuracy of work; assist with processing, editing and quality checks of survey data
• Identify data quality issues and develop recommendations on how to resolve those issues to ensure data completeness, consistency, and accuracy
• Conduct survey non-response bias analysis to assess whether there are systematic differences in survey response patterns based on respondent or program characteristics
• Conduct trend analysis to evaluate changes over time in survey response patterns by data collection mode, respondent demographics, and other variables as specified
• Develop documentation for all analyses to include storage location of all files (i.e., program code, data sets, output); thoroughly document program code and monitor use of disk storage, archiving data sets when not in use
• Contribute to project reports and presentations, including memos summarizing interim project findings and reports describing survey and statistical methodology
• Make specific policy and program recommendations to internal and external stakeholders based on independent analysis of data
• Independently perform SAS programming and analysis for a variety of datasets, data structures, database summaries, listings, tables, and database applications
• Independently collect, join, and analyze data from multiple sources; apply statistical theories and methods to solve complex issues

Requirements:

• 5+ years of experience in survey methodology and using statistical techniques for analyzing data from complex surveys
• 5+ years of experience working with CMS datasets such as IDR, OnePI, or CCW
• 5+ years of experience using SAS statistical analysis software (required); SAS VIYA or SPSS a plus for data mining and visualization
• 3 years of experience using data management and visualization tools such as SQL, Tableau, Qlik, R, Python, or Power BI
• Experience with health surveys (preferred)
• Experience working with Fraud, Waste, and Abuse (FWA) analytics (preferred)
• Master’s degree or higher in health sciences, social sciences, statistics, or a related field

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.

rdt9ssOKoB