MVC Data Analyst Senior/ Intermediate

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How to Apply

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 outline skills and experience that directly relate to this position.

Summary

The Michigan Value Collaborative (MVC), housed at the University of Michigan, is seeking up to three detail-oriented self-starters to join the team in the role of Data Analyst. Strong analytic, organizational, and 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 Data Analyst gathers and analyzes data from various databases and other sources; cleans and constructs datasets; performs statistical programming; and provides technical assistance to the team. The Data Analyst will utilize medical claims datasets, among other sources, from both private and federal payers in order to assess payment variation and identify areas of opportunity for hospitals and providers.

In this position, you will work with a highly collaborative group of clinicians, policy experts, statisticians, economists, health services’ researchers, and analysts. This position is an excellent opportunity to gain expertise in data management and analysis, as well as a broad range of healthcare reimbursement and payment reform programs. In addition, you will be able to advance your skills using claims data (including characterizing episodes of care) and have the opportunity to assist with academic publications.

Candidates for this position must be driven, with an intellectual curiosity and desire to continue learning, as well as the ability to work on multiple projects at one time. This position allows for significant growth, with the opportunity to develop statistical methodologic skills and to explore innovative healthcare solutions.

Mission Statement

Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally.  Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.

Responsibilities*

  • Write and edit programs to clean, manage, merge, and analyze data
  • 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 for assigned projects and/or clients
  • Perform statistical programming utilizing SAS and a variety of other statistical software packages to summarize data and create reports and/or visual presentations
  • 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
  • Contribute to the strategic direction of MVC
  • Assist in the implementation of the BCBSM MVC Pay-for-Performance metric
  • Present analytic methods and new approaches to accomplishing goals internally and externally
  • Support the development and publication of academic research papers

Required Qualifications*

  • Bachelor's degree in a recognized field of science or learning which is directly related to the duties of the position.
  • Three years of experience in analyzing and interpreting process, clinical outcomes, and costs of care.
  • Demonstrated ability to work independently as well as cooperatively
  • Demonstrated ability to manage multiple projects at the same time
  • Demonstrated proficiency working with large datasets using statistical software programs (SAS preferred, but STATA, SPSS, and R are also acceptable)

Senior Level

  • Minimum 5 years of experience analyzing and interpreting process, clinical outcomes, and costs of care
  • 2+ years demonstrated proficiency working with large datasets using statistical software programs (SAS preferred), data visualization, statistical models, and significance testing

Intermediate Level

  • Minimum 3 years of experience

Desired Qualifications*

  • Master’s degree in relevant field
  • Previous experience working with administrative claims data
  • Working familiarity with basic statistical models and significance testing
  • Knowledge or experience working with the BCBSM Collaborative Quality Initiatives

Underfill Statement

This position may be underfilled at a lower classification depending on the qualifications of the selected candidate.

Background Screening

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.

Application Deadline

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.

U-M EEO/AA Statement

The University of Michigan is an equal opportunity/affirmative action employer.


U-M COVID-19 Vaccination Policy

COVID-19 vaccinations, including one booster when eligible, are required for all University of Michigan students, faculty and staff across all campuses, including Michigan Medicine.  This includes those working remotely and temporary workers.   More information on this new policy is available on the U-M Health Response website or the UM-Dearborn and UM-Flint websites.