University of Minnesota Twin Cities Jobs

University of Minnesota Twin Cities

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Minneapolis, MN, USA

5 Star University

"Physician/Faculty Compensation Analyst"

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Physician/Faculty Compensation Analyst

DUTIES AND RESPONSIBILITIES

Data Repository and Reporting Solutions

  • Implements and updates the Data Repository and Reporting Solution. Develops and applies various controls and processes to maintain the accuracy, completeness, and validity of data throughout its lifecycle.
  • Collects, consolidates, and reports faculty and physician compensation and productivity data.
  • Conducts extensive data mining and abstracting of faculty physician productivity data for reporting needs.
  • Develops, refines, implements, and communicates enhancements to the Solution.
  • Understands reporting requirements and uses of the data and ensures reports and dashboards support the development of data-driven insights.
  • Designs and implements a standard process for productivity and compensation report distribution and mechanisms to support transparency.
  • Continually improves the Solution design to enhance the user experience and number of useful applications (year-end communications, real time reporting, incentive calculation and communication).

Data Integrity

  • Conducts validation checks, access controls, regular backups, and audits.
  • Resolves data and analytic errors.
  • Refines all repository data elements for all funding (including Clinical, Academic, Research, Teaching and Service - CARTS) pay and productivity elements, ensuring the accuracy of data and the integrity and stability of data sources.
  • Collaborates with departments to ensure data integrity and process improvement.

Reporting

  • Performs analysis, identifies results, and presents findings to support informed decision-making.
  • Prepares and ensures the distribution of faculty and physician compensation and productivity reports, compensation letters, and any other associated data to leadership and providers.
  • Analyzes compensation plan outcomes against plan designs and goals and calculates the impact of compensation plan changes on both compensation and productivity, and audits compensation plans outcomes.
  • Develops visual models and presentations that highlight opportunities to support strategic planning and initiatives, improve performance, project future demand, and advance Medical School (UMMS) and M Physicians goals.
  • Analyzes large data sets to identify trends and patterns.
  • Presents actionable data to end users in appropriate formats, including reports using Microsoft Access, Word, Excel, or PowerPoint.
  • Supports users in interpreting and presenting data, including presentations to individuals and groups.
  • Develops, implements, and maintains various data reporting structures.
  • Prepares executive reports for review by UMMS/MPhysicians leadership and the Faculty Compensation Committee.
  • Develops and maintains reports for compensation survey participation.
  • Conducts market research and analyzes industry-specific trends to ensure compensation models are competitive, sustainable, and aligned with corporate performance standards.
  • Supports and ensures a consistent approach to the financial analysis and impact modeling required for compensation plan development, effectiveness, and sustainability.

QUALIFICATIONS

  • Bachelor of Arts or Science in business, finance, accounting, data analytics/science, human resources, computer science, or related field
  • 6 years of experience in compensation modeling, with at least 2 years experience with faculty physician compensation models
  • 3 years of experience managing large databases with complex financial and data analysis
  • Excellent statistical analysis, data mining, and data modeling skills.
  • Knowledge of programming languages for database management.
  • Ability to create clear and informative visualizations using tools like Tableau or Power BI.
  • Ability to effectively communicate findings and insights to both technical and non-technical audiences.
  • Ability to identify and solve problems using data analysis techniques.
  • Understanding of business processes and how data can be used to drive business decisions.

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