Remote Cerner Pathnet Analyst Jobs in Michigan (NOW HIRING)

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:
1. Acts both independently and in concert with team; consistently exercises discretion and judgment in performing work which is predominantly intellectual and varied in nature.
2. Writes, modifies and executes various production, management, regulatory, customer and ad hoc databases and reports.
3. Provide analytical operations support using a variety of data sources. Analyze and interpret data to provide information for management decisions.
4. Analyze data to identify areas of opportunity that promote operational efficiency and long term organizational success.
5. Identify cost control and cost management issues and recommend actions to resolve.
6. Responsible for reconciliation of provider compensation to contractual terms.
7. Consults/meets with management and/or operating department personnel to determine information requirements and produces specifications for systems projects.
8. 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.
9. 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 system
• Experience in healthcare financial forecasting and analysis.
• Experience working with large databases, data extraction and analysis.
• Experience with various data management