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.
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