Optum Insight is seeking a Senior Data Analyst specializing in Fraud, Waste, and Abuse (FWA) to identify, analyze, and prevent fraudulent activities within Medicaid claims. You will work with a State Government Product and Data Mining team to develop and deploy algorithms that support program integrity across multiple states and support our fraud and abuse detection product and services. This role offers a hybrid work arrangement, with remote work possible from anywhere in the United States, and in-office requirements for hires in the Minneapolis, MN or Washington, DC areas (a minimum of four days per week).
Optum Insight is seeking a Senior Data Analyst specializing in Fraud, Waste, and Abuse (FWA) to identify, analyze, and prevent fraudulent activities within Medicaid claims. You will work with a State Government Product and Data Mining team to develop and deploy algorithms that support program integrity across multiple states and support our fraud and abuse detection product and services. This role offers a hybrid work arrangement, with remote work possible from anywhere in the United States, and in-office requirements for hires in the Minneapolis, MN or Washington, DC areas (a minimum of four days per week).
Key Responsibilities: - Write SQL queries ranging from simple to complex to extract data for client inquiries and research. - Use production reports to perform data quality assessments and research. - Analyze and interpret data to identify FWA trends and patterns in claims data. - Apply creative and analytical thinking to uncover and resolve complex fraud, waste, and abuse scenarios. - Engage with clients to triage and manage operational inquiries and tasks. - Develop innovative approaches to resolve non-standard problems and deliver effective outcomes. - Collaborate with data engineers, software engineers, and other development teams. - Troubleshoot client operational issues in a timely and thorough manner. - Support, train, and mentor fellow analysts and developers. - Contribute to improvements in operational processes. - Work in a self-directed, less structured environment and function effectively within a matrix organization.
Qualifications: - Required: 5+ years o
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Key Responsibilities: - Write SQL queries ranging from simple to complex to extract data for client inquiries and research. - Use production reports to perform data quality assessments and research. - Analyze and interpret data to identify FWA trends and patterns in claims data. - Apply creative and analytical thinking to uncover and resolve complex fraud, waste, and abuse scenarios. - Engage with clients to triage and manage operational inquiries and tasks. - Develop innovative approaches to resolve non-standard problems and deliver effective outcomes. - Collaborate with data engineers, software engineers, and other development teams. - Troubleshoot client operational issues in a timely and thorough manner. - Support, train, and mentor fellow analysts and developers. - Contribute to improvements in operational processes. - Work in a self-directed, less structured environment and function effectively within a matrix organization.
Qualifications: - Required: 5+ years o
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Based on: Senior Data Analyst - Fraud, Waste, and Abuse
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