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Company

Blu Omega · 6 hours ago

Senior Health Analytics Consultant

United States

Full-time

Remote

Senior Level

6+ years exp

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Cloud InfrastructureConsulting

Hiring Manager

Ashli Cline

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Responsibilities

Independently perform a broad range of quantitative analysis to inform the design, implementation, and evaluation of Medicare and Medicaid payment models

Develop strategic working relationships with clients

Design payment calculations, conduct financial and trend analysis, calculate quality metrics, and perform fast-paced ad-hoc analysis to quickly address client needs

Efficiently query large databases of healthcare claims and eligibility data

Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy

Mentor other staff to develop their technical and analytical problem-solving skills

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 team

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SASRPythonSQLStatisticsResearch methodologyMedicare payment methodologiesMedicaid payment methodologiesHealthcare claims dataHealthcare data conceptsExcelTableauSAS certification

Required

Master’s degree or higher in Statistics, Economics, Public Health, Public Policy, or related field

Experience leading statistical analysis to inform health policy

Familiarity with Medicare and Medicaid payment methodologies

Experience working with healthcare claims and enrollment data

Extensive knowledge of healthcare data/payment concepts (e.g., claims data structure/contents, claim types)

6+ 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 and advising clients

Excellent written and oral communication skills, including the ability to clearly communicate analyses and findings to clients

Preferred

Ph.D. in Statistics, Economics, Public Health, Public Policy, or related field

Experience with databases having complex structures and relationships, such as the Integrated Data Repository, Chronic Conditions Warehouse, or similar data environment

Proficient in 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) or Tableau

SAS certification