The Michigan Value Collaborative (MVC), housed at the University of Michigan, is seeking a detail-oriented self-starter to join the team in the role of Lead Data Analyst. Strong analytic, organizational, project management, as well as verbal and written communication skills are critical to this role.

The MVC is a statewide hospital and physician organization consortium, aiming to improve the health of Michigan through sustainable, high-value healthcare and enable Michigan patients to access the right care, at the right cost, at the right time. 

The Lead Data Analyst will be assigned to leading a dedicated project aimed at demonstrating the impact, value, and return on investment of the Collaborative Quality Initiatives (CQIs). In this role, the Lead Analyst gathers and analyzes data from various databases and other sources; cleans and constructs datasets; performs statistical programming; and provides analytic and technical assistance to the wider project team. The Lead Data Analyst will utilize medical claims datasets, among other sources, to evaluate the impact of specific CQI initiatives on healthcare outcomes and cost.

In this position, you will work with a highly collaborative group of clinicians, policy experts, statisticians, economists, health services researchers, and other MVC analysts. This position is an excellent opportunity to apply and grow your data management and analytic expertise. Candidates for this position must be driven, with an intellectual curiosity and desire to continue learning, as well as the ability to proactively problem solve and work independently.

A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and briefly outline skills and experiences that directly relate to this position.

• Write and edit programs to clean, manage, merge, maintain, and analyze data, including large data sets (millions of observations)
• Extract, transform, and merge raw data from various data sources into usable forms, and construct datasets according to the specifications provided
• Design, create and implement programs and templates to collect, display and analyze data
• Perform statistical programming utilizing a variety of statistical software packages to summarize data and create reports and/or visual presentations
• Conduct advanced statistical analysis, with support and supervision, such as multilevel regression modeling, survival analysis, and causal inference methods including difference-in-differences, instrumental variables analysis, interrupted time series, and regression discontinuity designs
• Design and prepare standard and ad hoc reports
• Design and prepare summaries for statistical analysis and planning purposes
• Document procedures for future reference and make recommendations for data analysis process improvements
• Present analytic methods and new approaches to accomplishing goals internally and externally

• Bachelor's degree in a recognized field of science or learning which is directly related to the duties of the position
• Minimum 5 years of experience analyzing and interpreting process data, clinical outcomes, and costs of care
• Demonstrated proficiency working with large administrative datasets using statistical software programs (STATA, SAS, R), data visualization, statistical models, and significance testing
• Strong organization skills and attention to detail with the ability to manage competing demands and prioritize to meet deadlines
• Ability to work independently as well as cooperatively
• Demonstrated ability to manage multiple projects at the same time
• Professional, team-driven attitude, and proven ability to take initiative

• Masters degree in relevant field
• Experience working with large insurance claims datasets, such as Medicare, MarketScan, Healthcare Cost & Utilization Project, or other claims data sources required
• Experience working with multi-payer claims data preferred
• Working knowledge of hospital pay-for-performance / payer incentive reimbursement programs preferred
• Knowledge or experience working with the BCBSM Collaborative Quality Initiatives preferred

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.

Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings.  Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.

Job openings are posted for a minimum of seven calendar days.  The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.

The University of Michigan is an equal employment opportunity employer.