Statistical Data Analyst

Description
This position gathers, organizes and statistically analyzes research data. The position determines data requirements, designs data collection tools, constructs and manages databases, conducts statistical analysis of data, and reports results. The position participates in development of research policies and practices in a specialty such as health care, public health, educational programs, educational administration, behavioral science, mental health, or social science. Duties include use of specific statistical analysis software such as SAS or SPSS and may include SQL or other programming. This position may act as a data consultant to several research studies. This work meets the FLSA criteria for a professional exemption by performing work that is primarily intellectual in character that requires a prolonged period of academic preparation. This work is distinguished from Social and Behavioral Researcher by its emphasis on complex data manipulation using statistical software. The work is distinguished from a Statistical Data Analysis Manager or higher level researcher since it is not responsible for setting overall research direction, or coordinating or supervising the work of other Statistical Data Analysts. Work does not require a Ph.D. Statistical Data Analysts use primarily data design and statistical techniques rather than other scientific duties such as searching literature, conducting field interviews, writing training manuals, or drafting final project reports.

Responsibilities

This position supports institutional Data Request processes by conducting advanced statistical and analytical research, with a primary focus on student and faculty data. The role applies established research methodologies, statistical techniques, and computing tools to analyze university data in support of planning, assessment, and decision‑making.

Leverages a strong understanding of institutional data systems and available data sources to inform strategic initiatives and respond to internal and external data needs.

Analyzes, validates, and interprets data to ensure findings are accurate, consistent, and meaningful. Develops high‑quality research reports and data products for stakeholders and university leadership, utilizing effective data visualizations—including tables, charts, and graphs—to clearly communicate results.

Demonstrates effective data management practices and proficiency with related tools and technologies (e.g., SQL, Microsoft Access, and other database or reporting systems). Provides analytical support for special projects and ad hoc data requests, collaborating with stakeholders to meet institutional priorities while managing multiple concurrent projects in a fast‑paced environment.

Designs and delivers custom ad hoc reports to meet the needs of both internal and external audiences.

Compiles and prepares datasets in collaboration with systems programmers and technical staff, ensuring appropriate data structures and definitions are applied.

Reviews, processes, and fulfills data requests in accordance with data governance standards, ensuring the highest levels of data integrity, accuracy, and confidentiality. Approves data sources and definitions, maintains thorough documentation, and conducts verification checks to ensure compliance and reliability of reported data.

Qualifications

MINIMUM:

This position requires a Bachelor’s degree 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 substitute for the college on a year for year basis.

Degree Equivalency Clause: Four years of direct experience for a bachelor’s degree.
• Senate Bill 1310- The Florida Senate (https://www.flsenate.gov/Session/Bill/2023/1310) is conditional upon meeting all employment eligibility requirements in the U.S.
• SB 1310: Substitution of Work Experience for Postsecondary Education Requirements
• A public employer may include a postsecondary degree as a baseline requirement only as an alternative to the number of years of direct experience required, not to exceed:
• (a) Two years of direct experience for an associate degree;
• (b) Four years of direct experience for a bachelor’s degree;
• (c) Six years of direct experience for a master’s degree;
• (d) Seven years of direct experience for a professional degree; or
• (e) Nine years of direct experience for a doctoral degree
• Related work experience may not substitute for any required licensure, certification, or registration required for the position of employment as established by the public employer and indicated in the advertised description of the position of employment.
• Minimum Qualifications that require a high school diploma are exempt from SB 1310.

PREFERRED:

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. 2- 3 years of supervisory experience.