University of Michigan
University of Michigan is hiring: Senior Data Analyst in Ann Arbor
University of Michigan, Ann Arbor, MI, United States
Senior Data Analyst
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Who We Are
The MVC is a statewide collaborative quality initiative (CQI), 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, and the right time. MVC provides member organizations with claims-based healthcare utilization data to empower local quality improvement activities. In addition to leveraging claims data, MVC provides an infrastructure for collaboration and the sharing of best practices between its member hospitals and physician organizations.
Responsibilities*
Using large administrative data sets, 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
Perform statistical programming utilizing SAS and a variety of other statistical software packages to summarize data and create reports and/or visual presentations
Design, create and implement programs and templates to collect, display and analyze data for assigned projects and/or clients; design and prepare standard and ad hoc reports, and 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
Required Qualifications*
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 (SAS preferred but STATA, SPSS, and R are also acceptable), 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
Modes of Work
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 modeshere (https://hr.umich.edu/working-u-m/my-employment/ways-we-work-resource-center/ways-we-work-implementation-group/modes-work) .
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.
Job Detail
Job Opening ID
252505
Working Title
Senior Data Analyst
Job Title
Clinical Info Analyst Sr
Work Location
Ann Arbor Campus
Ann Arbor, MI
Modes of Work
Hybrid
Full/Part Time
Full-Time
Regular/Temporary
Regular
FLSA Status
Exempt
Organizational Group
Medical School
Department
MM GSA - Administrtn (GSA/ADM)
Posting Begin/End Date
10/31/2024 - 11/22/2024
Career Interest
Healthcare Admin & Support
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