Blu Omega is seeking a dynamic, goal-oriented Health Data Analytics Consultant to work on health and human services projects requiring intermediate SAS, R, Python, or SQL experience as well as knowledge of statistics and research methodology.

REQUIRED QUALIFICATIONS:

• Masters degree or higher in Statistics, Economics, Public Health, Public Policy, or related field
• 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
• Familiarity with healthcare data/patient attribution concepts (e.g., claims data structure/contents, claim types, patient attribution methodologies)
• Experience in preparing data and information and contributing to reports and presentations
• Excellent oral and written communication skills, strong interpersonal skills, and a focus on meeting deadlines

PREFERRED QUALIFICATIONS:

• Ph.D. in Statistics, Economics, Public Health, Public Policy, or related field
• Academic coursework in statistics, econometric modeling, or other comparable coursework
• Experience conducing statistical analysis to inform health policy
• Experience with databases having complex structures and relationships, such as the Integrated Data Repository or Chronic Conditions Warehouse
• Understanding of Medicare and Medicaid payment methodologies
• Experience managing and analyzing large datasets using parallel processing techniques
• Experience with other software such as Excel (e.g., pivot tables, VBA)
  Salary Band: $92,000-$114,000
  Job Type: Full-time
  Pay: $92,000.00 - $114,000.00 per year

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Life insurance
• Vision insurance

Work Location: Remot

• 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
• Apply 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 a project teams
• Prepare data and information for internal as well as external use, contribute to reports, and assist with project coordination tasks