Provider Compensation Analyst - Remote in Michigan - McLaren Careers
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The position is responsible for the examination, interpretation, and processing of data to provide insights, solve problems, and support organizational decision-making within provider compensation. Individual may be tasked with internal valuation, benchmarking, modeling, and ad hoc analysis.
Essential Functions And Responsibilities
• Acts both independently and in concert with team; consistently exercises discretion and judgment in performing work which is predominantly intellectual and varied in nature.
• Writes, modifies and executes various production, management, regulatory, customer and ad hoc databases and reports.
• Provide analytical operations support using a variety of data sources. Analyze and interpret data to provide information for management decisions.
• Analyze data to identify areas of opportunity that promote operational efficiency and long term organizational success.
• Identify cost control and cost management issues and recommend actions to resolve.
• Responsible for reconciliation of provider compensation to contractual terms.
• Consults/meets with management and/or operating department personnel to determine information requirements and produces specifications for systems projects.
• Promotes positive internal and external relations by actively seeking and being responsive to customer feedback. Ability to support and participate in continuous quality improvement projects and performance improvement activities.
• Performs other duties as assigned or when necessary to maintain efficient operations of the department and the organization.
Required
• Bachelor’s degree in Systems, Accounting, Business, Finance, or related field.
• One years of prior experience in finance/accounting.
Preferred
• Experience in an integrated health system medical group, particularly in Provider Compensation
• Experience working with Cerner and HPP electronic medical and billing systems
• Experience in healthcare financial forecasting and analysis.
• Experience working with large databases, data extraction and analysis.
• Experience with various data management
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