Health Data Analytics Consultant
About the position
Responsibilities
• Perform a broad range of quantitative analysis to inform the design, implementation, and evaluation of Medicare and Medicaid payment models
• Support the development of payment calculations, conduct financial and trend analysis, calculate quality metrics, and perform fast-paced ad-hoc analysis to quickly address client needs
• Work with clients to verify analysis parameters and specifications
• Utilize machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy
• Efficiently query large databases of healthcare claims and eligibility data
• Write detailed specifications and documentation of data processing and analytical steps
• Write effective and efficient code both independently and under the guidance of project managers using best practice quality control procedures
• Maintain a consistently high degree of accuracy and attention to detail in all tasks
• Work effectively and cooperatively as a member of project teams
• Prepare data and information for internal as well as external use, contribute to reports, and assist with project coordination tasks
Requirements
• 4+ years of experience in health/analytics related field
• 4+ years of experience using SAS, R, Python, or SQL in a research, consulting, or business environment
• Experience working with healthcare claims and enrollment data in large data warehouse environments
• Experience in preparing data and information and contributing to reports and presentations
• Familiarity with healthcare data/payment concepts (e.g., claims data structure/contents, claim types, payment concepts)
• Proven excellent oral and written communication skills, solid interpersonal skills, and a focus on meeting deadlines
Nice-to-haves
• Academic coursework in statistics, econometric modeling, or other comparable coursework
• SAS certification
• Experience conducting statistical analysis to inform health policy
• Experience with databases having complex structures and relationships, such as the Integrated Data Repository or Chronic Conditions Warehouse
• Experience managing and analyzing large datasets using SAS grid and other parallel processing techniques
• Experience with other software such as Excel (e.g., pivot tables, VBA)
• Understanding of Medicare and Medicaid payment methodologies
Benefits
• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution
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