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Business Intelligence Analyst - CDI
University of Michigan
- United States
- United States
Über
Build models and analyze data to unearth health encounter trends and patterns
Analyze and interpret medical utilization data and costs, identifying new metrics for measuring results as well as monitoring current metrics for trends.
Ensures that all analysis is actionable for business owners; enabling leaders of key areas to build, implement and identify solutions to address business performance gaps.
Create measurements and reporting of participation in population health, medical management, and quality programs, and develop strategies to grow and improve results, as appropriate.
Identifies and addresses expected and unforeseen data issues to ensure the accuracy of analytics, ensuring that resulting business decisions are made from accurate findings. In addition,
The analyst will work with the data owner/stewards to improve data quality where possible.
Develop dashboards and visualizations in Tableau for Michigan Medicine leadership.
Design and summarize conclusions gained from analyzing data using statistical tools like Microsoft Excel and Access, SQL, SAS and others.
Conduct regression analysis.
Advanced Reasoning required in order to interpret the variables, driving factors and necessary conclusions as can be gathered from large data outputs
Effectively communicates and presents all relevant findings to leadership.
Works with external data sources such as Vizient and CMS benchmarking
Required Qualifications * Bachelor's degree in finance, statistics, mathematics, health informatics, computer science, or a similar field.
At least five years experience in data analysis and modeling of Healthcare or Population Health data.
At least five years of experience writing SQL queries for Oracle databases, and programming with PL/SQL.
At least five years of experience creating reports or queries using tools like Crystal Reports, Oracle OBIEE, Hyperion Reporting, Business Objects, or similar.
Strong skills in analytics, math, statistics, and quantitative methods.
Excellent communication skills, both written and verbal.
Experience using data visualization methods such as Tableau
Clarity Certified with Epic, or able to earn cert within one year of hire
Strong teamwork and interpersonal skills, working well with leaders, colleagues, and other departments.
Ability to adapt to changing priorities and work in a fast-paced environment.
Experience with data manipulation and extraction.
Experience working with healthcare clinical and financial data.
Advanced knowledge and experience (1-3 years) with Microsoft Office applications.
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 thework modes () . Additional Information This position may be underfilled at a lower classification depending on the qualifications of the selected candidate SUPERVISION RECEIVED Administrative supervision from Director of IP Coding/CDI, functional supervision from Medical Director of CDI and the C.S. Mott & Von Voigtlander Medical Director for Revenue Integrity. 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 Statement The University of Michigan is an equal employment opportunity employer. Job Detail Job Opening ID 274532 Working Title Business Intelligence Analyst - CDI Job Title BI Analyst Senior Work Location Michigan Medicine - Ann Arbor Ann Arbor, MI Modes of Work Hybrid Full/Part Time Full-Time Regular/Temporary Regular FLSA Status Exempt Organizational Group Exec Vp Med Affairs Department MM Rev Cycle (PTO) Posting Begin/End Date 3/04/2026 - 3/11/2026 Career Interest Administration Apply Now
Sprachkenntnisse
- English
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