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Analyst Statistical Data -CUTR

Job in Tampa, Hillsborough County, Florida, 33646, USA
Listing for: University of South Florida
Full Time position
Listed on 2026-10-15
Job specializations:
  • Research/Development
    Data Scientist
  • IT/Tech
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 70000 - 95000 USD Yearly USD 70000.00 95000.00 YEAR
Job Description & How to Apply Below
Position Summary

The Analyst Statistical Data position will provide research, data analytics, and performance reporting support for the Center for Urban Transportation Research (CUTR). This position is responsible for collecting, managing, analyzing, and interpreting data to support sponsored research projects, grant management activities, and organizational performance reporting. Key responsibilities include developing and maintaining databases, dashboards, and performance tracking systems; preparing statistical reports, data visualizations, infographics, and narrative summaries;

and supporting principal investigators with project reporting, proposal development, and decision‑making. The incumbent must possess strong research and business analytics skills, including experience with data management, statistical analysis, data visualization, and advanced AI and large language model (LLM) tools. Experience with in a university transportation research center is preferred.

Job Description

The Analyst Statistical Data position will provide research, data analytics, and performance reporting support for the Center for Urban Transportation Research (CUTR). This position is responsible for collecting, managing, analyzing, and interpreting data to support sponsored research projects, grant management activities, and organizational performance reporting. Key responsibilities include developing and maintaining databases, dashboards, and performance tracking systems; preparing statistical reports, data visualizations, infographics, and narrative summaries;

and supporting principal investigators with project reporting, proposal development, and decision‑making. The incumbent must possess strong research and business analytics skills, including experience with data management, statistical analysis, data visualization, and advanced AI and large language model (LLM) tools. Experience with in a university transportation research center is preferred.

Position Summary

The Analyst Statistical Data position will provide research, data analytics, and performance reporting support for the Center for Urban Transportation Research (CUTR). This position is responsible for collecting, managing, analyzing, and interpreting data to support sponsored research projects, grant management activities, and organizational performance reporting. Key responsibilities include developing and maintaining databases, dashboards, and performance tracking systems; preparing statistical reports, data visualizations, infographics, and narrative summaries;

and supporting principal investigators with project reporting, proposal development, and decision‑making. The incumbent must possess strong research and business analytics skills, including experience with data management, statistical analysis, data visualization, and advanced AI and large language model (LLM) tools. Experience with in a university transportation research center is preferred.

Responsibilities
  • Develops statistical surveys by designing data collection instruments, calculating sample sizes and selecting appropriate analytical procedures.
  • Conducts data analyses, and reports results associated with a research study, using SPSS, SAS, and other statistical analysis software. May use SPSS or other programming languages.
  • Summarizes statistical results of a research project by creating graphs, tables and charts.
  • Interprets and conveys results to project leaders, principal investigators and/or outside agencies. Refines statistical models after consultation.
  • Designs ad hoc reports requested by administrators, 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…
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