We are 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.
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
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
Qualifications:
Master’s degree or higher in Statistics, Economics, Public Health, Public Policy, or related field
4+ years of experience using SAS (including macro processing and Proc SQL), 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/payment concepts (e.g., claims data structure/contents, claim types, payment concepts)
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
Nice to Haves:
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 payment methodologies
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)
SAS certification
What Blu Omega Can Offer You:
Competitive benefits including Health Insurance, 401K w/ match, Paid Time Off and more.
Results driven culture that embrace our core values
Rewarding work contributing to our Nation’s mission critical programs
Blu Omega is a Woman Owned Small Business Federal Technology services firm headquartered in Washington DC and supporting clients nationally. We provide Technology solutions for enterprise and government customers. Our team has a past performance in a diverse range of programs including those for Data Management, Cloud/Infrastructure, Software Development and Enterprise Applications.
An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.