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University of South Florida in

Data Analyst - On-Site

University of South Florida in, Tampa, Florida, us, 33646

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Overview

Organizational Unit: The USF Health College of Nursing is one of 14 colleges at the University of South Florida and one of four that make up USF Health. As a member of the Association of American Universities and designated by the Carnegie Foundation as both a Research 1 and a Community-Engaged institution, USF emphasizes excellence in education, research, and service. Nationally recognized as a leader in nursing education and research, the College serves more than 2,000 undergraduate, masters, and doctoral students each year. The Master of Science in Nursing (MSN) program has been ranked No. 1 among Floridas public universities by U.S. News & World Report for the fourth consecutive year and No. 23 in the nation in 2025. Position requires current, permanent work authorization in the United States that does not require employer sponsorship, visa transfer, or future work authorization support. This position is not eligible for employment-based visa sponsorship. As an integral part of USF Health, the College focuses on educating future nurses, advancing nursing science, and applying evidence-based practice to improve health outcomes and community well-being. Position Summary

The FCN Data Analyst will advance the organizations mission by researching nursing workforce challenges in Floridasupply and demand, recruitment, retention, and utilization of nurses. The role converts raw data from state agencies and educational institutions into actionable insights for healthcare workforce policy, strategic planning, and program development. Collaborating with business stakeholders, IT partners, and subject matter experts, the analyst develops data-driven insights to inform decisions and improve FCN operations. Responsibilities include managing the full data lifecyclefrom collection and cleaning to analysis and presentationto ensure accuracy and relevance across datasets. The role also involves developing and maintaining user-friendly reporting tools and dashboards to broaden access to timely information. Operating independently, the analyst will conduct data analysis, interpret trends, and support the continuous improvement of FCNs data systems and analytics capabilities. The ideal candidate will have expertise in Excel, data organization, and basic statistical analysis, with an interest in healthcare workforce development. Responsibilities

Collect, import, and clean raw data from multiple sources including the Florida Department of Health, Board of Nursing, and Nursing Education programs. Organize and maintain datasets in Excel using advanced functions (pivot tables, formulas, data cleaning) to ensure quality and usability. Use SAS to conduct descriptive and comparative statistical analyses of nursing licensure and education data (e.g., LPN, RN, APRN) at state and regional levels. Analyze and report on NCLEX-RN and NCLEX-PN first-attempt pass rates across Florida nursing programs. Summarize trends and performance metrics related to prelicensure nursing student results on licensure examinations. Monitor and track accreditation statuses of Floridas prelicensure nursing education programs. Consolidate and format large datasets; create tables, charts, graphs, and dashboards to visually communicate findings. Prepare datasets and conduct analysis in support of FCN research projects on nursing education, supply and demand, and workforce trends. Summarize findings in written reports, presentations, and data visualizations for stakeholders and policymakers. Provide responsive support for external data inquiries and custom data requests. Support planning and coordination of established and upcoming project phases. Ensure secure handling of sensitive data from state and government agencies. Participate in committees, conferences, workshops, and outreach activities to present findings and represent the FCN. Collaborate with internal teams and external partners to support ongoing workforce data initiatives. Qualifications

Minimum Qualifications:

This position requires a Bachelors degree in a field related to the responsibilities and at least one year of research experience; or a Masters degree in the same fields. Progressively responsible work experience may substitute for the degree on a year-for-year basis. Senate Bill 1310 and related notes apply. SB 1310 Context:

A public employer may include a postsecondary degree as a baseline requirement as an alternative to years of direct experience, not to exceed specified thresholds (two years for an associate degree; four for a bachelors; six for a masters; seven for a professional degree; nine for a doctoral degree). Other notes on related requirements may apply. Preferred Qualifications: Masters degree in a data-related field (e.g., Health Informatics, Public Health, Statistics). Experience with workforce, healthcare, or education data. High proficiency with Microsoft Excel. Experience using Power BI or similar data visualization tools. Familiarity with Qualtrics, SharePoint, and Monday.com. Knowledge of data from public health or state agencies. Strong written and verbal communication skills. Additional Information

On-Site Status:

This is an on-site position. Working at USF With approximately 16,000 employees, USF is a large employer in the Tampa Bay area. USF offers comprehensive benefits and opportunities for professional growth. Compliance and Federal Notices This position may be subject to a Level 1 or Level 2 criminal background check. Applicants have rights under Federal Employment Laws, including FMLA. Applicants may request reasonable accommodation(s) in the application process. Duties & Responsibilities: Collect, import, and clean raw data from multiple sources, including state agencies. Organize and maintain datasets in Excel with advanced functions. Analyze data using SAS and report on nursing licensure and education metrics. Prepare datasets and analyses for FCN research projects related to nursing education and workforce trends. Collaborate with teams and stakeholders to support data initiatives. Ensure secure handling of sensitive data.

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