Business Systems Analyst Sr

Business Systems Analyst Sr University of Michigan - Ann Arbor, United States 1 day ago

Location:

Ann Arbor, MICHIGAN Details

Posted:

Unknown

Location:

Salary:

Summary:

Summary here. Details

Posted:

16-May-26

Location:

Ann Arbor, Michigan

Categories:

Staff/Administrative

Internal Number:

277722 The University of Michigan Medical School (UMMS) and University of Michigan Medical Group (UMMG) are seeking a Business Systems Analyst Senior to serve as a high-impact, trusted advisor to leadership across UMMS, UMMG, and the clinical enterprise. Reporting to the Senior Director of Faculty Compensation, Compliance, and Analytics, you will own a broad portfolio of analytical workstreams that directly support Michigan Medicine's fiscal health and success across the tripartite mission. Candidates for this position will be expected to quickly develop expertise for the primary data sources of faculty appointments, demographics, clinical productivity (wRVUs, grid utilization, visit lengths), clinical EMR data (e.g., CPT codes), productivity and compensation benchmarks, faculty effort, and clinical FTE (cFTE), among others. Candidates must have confidence working independently across complex data environments and in using a range of tools and coding languages (e.g., SQL, R, Python) to quickly expose root causes and offer novel solutions. Candidates must be creative, resilient, and curious. Faculty productivity drives the largest sources of revenue for Michigan Medicine. In this highly autonomous role, you will become the primary subject matter expert on faculty clinical productivity data. Strategic Data Operations (75%) Program Ownership Lead the day-to-day data operations for the faculty clinical productivity analytics program, managing the full lifecycle from requirements gathering to automated reporting. Identify project timelines and dependencies, proactively provide limitations and key assumptions, and conduct data quality audits at every stage in each project Lead annual maintenance and quality assurance processes Clinical FTE (cFTE) Leadership Co-direct the data operations for the cFTE program, maintaining vendor relationships with QGenda and establishing best practice guidelines for departments Actively engage the vendor to ensure alignment with the data model and data quality standards for the transformation of QGenda scheduling data into expected and actual session data Via routine reporting, ensure that all departments/divisions are utilizing QGenda as minimally required for cFTE data to output as intended Collaborate with the QGenda user community to develop best practice guidelines Engage stakeholders to operationalize best practices Oversee any HITS-related dependencies work as the lead UMMS and UMMG representative Maintain data quality workbooks for each department/specialty to ensure minimum quality standards are being met Engage and educate stakeholders on the cFTE data model, data definitions, and routine maintenance expectations Serve as the first point of contact for troubleshooting errors and technical problems Perform monthly and routine data quality audits Faculty Data Mart and Analytics Co-lead the analytical and reporting components of the faculty data and reporting initiative Identify reporting platform (e.g., Tableau) Develop, seek feedback, iterate, and send to production a full suite of faculty data reports Develop a routine data quality program to ensure that all reports are refreshed monthly/on the correct cadence, and do not break Create stakeholder engagement strategies to ensure that the medical school and clinical enterprise community are aware of available faculty reporting Co-lead engagement with stakeholders in Revenue Cycle, Ambulatory Analytics, Quality Analytics, among others, to identify opportunities to break down silos, integrate data sources, and ensure that stakeholders are utilizing validated sources of faculty data Advanced Dashboarding and Reporting Under the direction of the Chief Physician Officer and the Senior Director of Compensation, Compliance, and Analytics, lead the development of a suite of faculty productivity, compensation, cost, and other financial analyses, metrics, and dashboards Develop centralized metrics and reports that tie together the ways that all faculty-generated costs and revenues interconnect and interplay across the enterprise Support the investigation and development of these novel analyses and metrics Once vetted and finalized, develop stable reporting that can be cascaded, as directed, to other Michigan Medicine leaders Co-lead faculty data quality management efforts Routine Data Quality Ensure adherence to quality standards and facilitate improvement efforts. Follow all appropriate data quality and security guidelines Proactively engage stakeholders to ensure that only approved and maintained data sets, dashboards, and metrics are being used across the enterprise Technical Assistance & Ad Hoc Analytics (20%) Act as the lead analyst for clinical productivity inquiries from senior UMMS and UMMG executives Manage efforts on behalf of UMMS and UMMG to engage stakeholders from across Michigan Medicine to identify opportunities to increase the efficiency and accuracy of faculty data as it moves throughout the organization Work with other analysts, data managers, and business systems analysts to improve the use of faculty data, reports, and analytics Other Duties as Assigned (5%)

Committee Engagement:

Participate in committees focused on data governance, interpretation, and process improvements.

Mentorship:

Provide operational support and mentorship to other analysts within the medical school and clinical enterprise. Bachelor's Degree or equivalent professional experience in a quantitative field like Public Health, Business Intelligence, Computer Science, Informatics, Engineering, Biostatistics, Public Policy, Economics. Advanced skills in querying and transforming data directly from databases via SQL, R, Python, and Excel-get and transform, etc. Advanced skills in navigating data warehouse architecture and creating stable data tables, materialized views, and connected Excel workbooks Proven track record working autonomously in a fast-paced, quickly changing environment with multiple competing tasks and priorities Success working simultaneously with multiple stakeholders at both senior and lateral levels Proven track record of being able to tackle complex analytical and operational data problems Excellent verbal, written, and presentation skills Master's Degree in a quantitative field like Public Health, Business Intelligence, Computer Science, Informatics, Engineering, Biostatistics, Public Policy, or Economics. Deep expertise and fluency in tools and languages such as SQL, R, Python, and Excel-get and transform, etc. Experience developing complex faculty data models and materialized views at an academic medical center, comprised of such data as faculty appointments, productivity, compensation, effort, and other related faculty data Experience working with and supporting a clinical FTE program High degree of fluency with faculty productivity and compensation benchmarks (e.g., AAMC, AMGA, MGMA, CPSC, etc.) and the manner in which they are structured by specialty, degree, rank, etc. 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. ground 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 any time after the minimum posting period has ended. The University of Michigan is an equal employment opportunity employer. Create a Job Match for Similar Jobs About University of Michigan - Ann Arbor A great university is made so by its faculty and staff, and Michigan is recognized as one of the best universities to work for in the country. The Michigan culture is known for engaging faculty and staff in all facets of the university to create a workplace that is vibrant and stimulating.

For two consecutive years, the Chronicle of Higher Education has placed U-M in its "Great Colleges to Work For" survey. In particular, the university earns high marks for strong relations between faculty and administrators, a collaborative system of governance, strong pay and benefits, and a healthy work/life balance. Connections working at University of Michigan - Ann Arbor More Jobs from This Employer main.hercjobs.org/jobs/22280727/business-systems-analyst-sr Return to Search Results