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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.

Job Summary

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 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 lives of patients in Michigan through systematic advancements in quality and cost-efficiency in Michigan hospitals.

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 have the opportunity to advance your skills using claims data, including characterizing episodes of care.

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.

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.

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.

Why Join Michigan Medicine?

Michigan Medicine is one of the largest health care complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000 employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences, and healthcare to become one of the world’s most distinguished academic health systems.  In some way, great or small, every person here helps to advance this world-class institution. Work at Michigan Medicine and become a victor for the greater good.

What Benefits can you Look Forward to?

  • Excellent medical, dental and vision coverage effective on your very first day
  •  Retirement Savings Opportunities

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

 

 

Required Qualifications*

  • Bachelor's degree in a recognized field of science of learning which is directly related to the duties of the position.
  • 3 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)

Desired Qualifications*

  • Master’s degree in relevant field
  • Previous experience working with administrative claims data
  • Working familiarity with basic statistical models and significance testing

 

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.