Job Description

SUMMARY

Involved in advanced analytics in support of conceptualization, design, execution, and dissemination with evaluations of BCBSM clinical programs.

• Analyze large volume of health care administrative data using advanced statistics/data mining methods to understand existing and predict future health care spending trends and issues.
• Proactively discovers potential areas for medical cost improvement and management/healthcare initiative strategies.
• Provide statistical support and consultation to program owners and leadership.
• Prepare presentations and technical reports in a clear and concise manner to communicate findings from statistical analysis to management, Michigan providers and other interested parties.
• Disseminate research results through presentations to scientific and professional groups and through publications in scientific and professional journals.
• Identify potential problems through data information review, analyze and investigation from massive data files.

QUALIFICATIONS

• Master's Degree in Statistics, Biostatistics or Health Economics.
• At least two (2) years of experience in statistics, biostatistics, or health economics.
• Proven ability to develop and implement advanced statistical methods used in analyzing health care data and in data mining.
• Extensive knowledge of health insurance and health care industry in general and specifics about BCBSM business, products, and programs.
• Must possess a working knowledge and understanding of methods and challenges in provider performances evaluation.
• Ability to write reports for internal and external customers.
• Statistical experience in development and execution for appropriate methodology with the ability to explain statistic findings to non-statistician individuals.
• Ability to function independently, manage multiple tasks and work effectively under minimal supervision.
• Ability to present and defend work findings and decisions under the stress of conflict and challenges while maintaining a professional image.
• Strong analytical, organizational, verbal, and written communication skills.
• Strong working knowledge of data languages such as SAS, R, Python, SQL, or equivalent.

Job Tags

Full time,

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