Statistical Data Analyst

University of South Florida (USF)

St. Petersburg, FL

ID: 7104876
Posted: July 8, 2022
Application Deadline: Open Until Filled

Job Description


The Office of Decision Support (ODS) works on behalf of the University community and senior leadership to facilitate decision-making by providing data, analysis, business solutions, and reporting; coordinating reporting and related needs across USFODS supports strategic planning efforts by ensuring competitive performance and regional accreditation and facilitates academic planning and new degree requests. ODS provides valid, reliable, and actionable analyses, serves as the official data and reporting source for student and faculty data, promotes sound assessment practices across all academic programs and support units, provides oversight of program planning/review and quality improvement initiatives, manages Academic Affairs projects, assists with enhancing the functionality of the Student Information System, and coordinates with the state governing body, external reporting, and accrediting agencies.


The Statistical Data Analyst reports to the Office of Decision Support with responsibility for supporting requests for student data. The Statistical Data Analyst will directly support the established Data Request infrastructure. The position is responsible for ensuring alignment and consistency with data reporting (tools and methodology), adherence to university policies and practices with internal and external reporting, and support for university-wide reporting and/or projects as appropriate. The Statistical Data Analyst will support the campus data liaisons across USF campuses.

This position will contribute to the support of Data Request processes by providing statistical and analytical institutional research, with a focus on student data. Apply research methods, statistical tools, and computer tools in the analysis of university data, primarily with student data.

Understand and utilize available data sources to inform strategic decision making.

Analyze and interpret data in a meaningful, accurate, and consistent manner. Prepare research reports for use by stakeholders and university decision-makers using appropriate visual graphs, charts, and tables to communicate research findings.

Demonstrate data management and effectively work with related tools (e.g. SQL, Access). Assist with development of special projects, ad-hoc requests, research and analytic support to key decision-makers. Prioritize and manage multiple projects in a fast-paced working environment.

Designs adhoc reports for external and internal customers, for example an analysis of client workday and income data, the tabulation of gender and race/ethnicity of populations served, and comparison of study data with similar data from other institutions.

Compiles datasets in conjunction with systems programmers.

QUALIFICATIONS (Education & Experience):

Minimum Qualifications:

This position requires a Bachelor's deree in a field directly related to the research or data analysis responsibilities and a minimum of one year of research experience; or a Master's degree in one of the same fields. Progressively responsible work experience may substitutefor the college on a year for year basis.

Preferred Qualifications:

A Master's degree in higher education, social science, educational research, applied statistics or relevant discipline. At least three years of demonstrated high-level proficiency in applied statistical research and data analysis, preferably in a higher education setting. Experience with enrollment planning & management, modeling, forecasting. Knowledge of traditional functional areas in enrollment management.

Experience with predictive modeling. Creating, maintaining and analyzing operational and longitudinal reporting. High level technical skills and advanced practical experience in statistical data packages (SAS, SPSS, R), data analysis and data management (Excel) experience, database software packages (Access, Oracle), and SQL.

Excellent interpersonal and communication skills across all levels of the university, particularly the ability to distill and convey research findings clearly and concisely to multiple audiences and stakeholders, as well as in appropriate forums (Excel, PowerPoint, Word). Ability to manage multiple concurrent projects and activities independently, frequently on tight deadlines, yet maintaining the highest standard of research and data quality. At least two-three years of supervisory experience.