Labor Productivity Analyst - Health System Finance
The University of Texas Medical Branch
Overview The Labor Productivity Analyst supports the organization's mission to deliver high-quality patient care by ensuring labor resources are used efficiently, appropriately, and sustainably. This role analyzes workforce performance across clinical and non-clinical departments, translating complex labor, patient volume, and acuity data into insights that help leaders make informed staffing and operational decisions. Responsibilities Labor & Operational Data Analysis Analyze labor utilization, staffing grids, premium pay trends and productivity benchmarks across inpatient, outpatient, and ancillary departments. Present labor management performance to operational leadership and executive audiences and highlight opportunities for improvement. Support labor management software by reconciliation, vendor partnership, and training to develop operational engagement. Healthcare Workflow & Performance Optimization Identify inefficiencies in clinical workflows, patient throughput, and support services that impact labor utilization. Partner with nursing, ancillary services, and department leaders to optimize staffing grids and align labor with patient demand. Support initiatives related to reducing premium labor (overtime and contract labor), improving scheduling practices, and enhancing workforce flexibility. Forecasting, Modeling & Staffing Support Build labor forecasting models in excel that incorporate patient volume trends. Conduct annual labor budgeting by updating excel-based staffing grids in collaboration with operational leadership and communicating to leadership. Develop modeling to evaluate the impact of operational or strategic changes that arise throughout the year. Operational Partnership & Decision Support Develop trusted relationships with operational leaders by actively listening to concerns, understanding operational challenges, and partnering to develop data-driven solutions. Integrate leader feedback with quantitative analysis to validate assumptions, identify root causes, and develop actionable recommendations. Communicate complex analyses clearly and concisely to operational and executive audiences, facilitating productive discussions and influencing decision-making through data-driven insights. Education & Experience Minimum Qualifications: Bachelor’s degree in Healthcare Administration, Business, Data Analytics, or a related field. Two years of experience working with healthcare labor metrics, staffing models, or operational performance data. Preferred Qualifications: Experience in hospitals, health systems, or other patient-care environments. Experience serving in an internal consulting, operational improvement, workforce management, finance, or decision support role requiring interaction with operational leaders. Experience leading projects or initiatives across multiple departments. Familiarity with productivity systems (e.g., LaborLytics, Kronos, Epic). Working Environment Hybrid (in-office/remote) role as determined by leadership and occasional on-site meetings at any UTMB campus, utilizing standard office equipment. In-person attendance may be required as needed and could be extensive during certain projects, including weeks on-site at various locations. Equal Employment Opportunity UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities. Location & Job Details Primary Location: United States-Texas-Galveston Work Locations: 0140 - Administration Bldg Job: Business, Managerial & Finance (Regular) Shift: Standard Employee Status: Non-Manager Job Level: Day Shift Job Posting: Jul 1, 2026, 8:54:12 AM #J-18808-Ljbffr The University of Texas Medical Branch
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