The primary objective of the Institutional Research Data Analyst position is to provide actionable insights and recommendations to support academic program planning, student success, strategic planning, resource allocation, and continuous improvement across the institution. The position requires a high level of accuracy, extraordinary attention to detail, solid proofreading skills, the ability to multi-task and meet deadlines, and the ability to adhere to ethical and legal standards in institutional research.

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The University of Tennessee at Chattanooga is in the heart of one of Tennessee’s largest and most dynamic cities. As a national model for metropolitan universities, UTC collaborates with its many regional partners to offer an experiential learning environment with outstanding teaching scholars in 128 undergraduate degree programs and 55 graduate programs—at both the master's and doctoral levels. UTC and Chattanooga—nationally recognized for its downtown redevelopment and wealth of outdoor recreation—are inextricably linked, and the University is central to the workforce and economic development efforts of the region and the state.

Colleges of Arts and Sciences; Business; Engineering and Computer Science; Health, Education and Professional Studies; and the Honors College are home to an array of award-winning programs from Nursing to Computer Science, Entrepreneurship to Veteran Student Support. Innovation is a strategic focus, and UTC research and development in smart city technology is an industry leader. UTC is the first and only university in the country with access to a managed, commercial quantum computing network, and we are introducing an artificial intelligence initiative involving entities across campus and engaging partners throughout the region.

From our deep ties to the city of Chattanooga to our national reputation for innovation and hands-on learning, UTC stands out as a university where students thrive, faculty inspire, and partnerships create real impact.

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The Office of Planning, Evaluation, and Institutional Research (OPEIR) supports the University's efforts with planning, assessment, evaluation, and improvement by maintaining the integrity of institutional data and coordinating the flow of management information both within the University community and to external agencies. Within OPEIR, the Institutional Research Data Analyst plays a crucial role in leveraging data to inform decision-making, enhance institutional effectiveness, and increase operational efficiency.

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Required:

• Bachelor’s degree in Psychology, Data Science, Computer Science, Information Systems, Business Administration, or a relevant field.
• At least 2 years of experience in data analysis, reporting, or data management, preferably working with complex data systems or large datasets.
• Experience working directly in Institutional Research, Institutional Effectiveness, Assessment, or Data Analytics/Business Intelligence offices.

Preferred:

• Master's degree in Analytics, Education, Psychology, Business, or a related field
• Prior experience in a higher education Institutional Research office or a similar environment is highly desirable.
• Familiarity with standard higher-education reporting and survey requirements, such as IPEDS reporting, accreditation data submissions, or National Student Clearinghouse reports. This includes understanding the definitions of common institutional metrics and ensuring consistent reporting of these figures.

Work Location:

• University of Tennessee – Chattanooga, TN Campus
• This is a fully on-site position.

Compensation and Benefits:

• UT Market Range: MR09
• Anticipated hiring salary: $55,000 - $63,000
• Find more information on the UT Market Range structure
• Find more information on UT Benefits

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Research & Insights
Design, implement, and contribute to projects using appropriate research methodologies and analytical techniques to identify trends, patterns, and correlations in key performance metrics (e.g., enrollment, retention, outcomes) and operational efficiencies (e.g., course section offerings, faculty workload). Interpret these findings and translate them into clear, actionable insights and recommendations for institutional leadership and other stakeholders.

Data Science & Predictive Analytics
Design, develop, train, and test predictive models to identify and prioritize student success outcomes for the College using a variety of data mining and advanced statistical analysis techniques. Conduct predictive modeling and forecasting to anticipate future enrollment trends and resource needs.

Reporting & Compliance
Prepare required institutional reports (e.g., IPEDS UT System, THEC, and other federal/state reports) accurately and on time. Ensure all compliance data submissions meet defined standards and deadlines. Respond to ad-hoc requests for data or analysis from campus stakeholders, providing accurate and official information promptly. Document the process for completing reports.

Data Transparency & Education
Interpret data findings and deliver clear, actionable insights to key stakeholders, including academic administrators, faculty members, and institutional leadership. Lead training sessions to enhance data literacy and encourage data-informed decision-making across the institution.

Continuous Improvement
Stay informed on best practices in data analytics and higher education. Proactively seek to respond to institutional needs.

Knowledge, Skills, and Abilities

• Knowledge of descriptive and inferential statistics and software (e.g., SPSS, R, SAS).
• Enthusiasm for problem-solving; demonstrated ability to create effective solutions to complex tasks.
• Working understanding of key institutional business practices and reporting metrics.
• Strong written and verbal communication skills, with the ability to present data findings clearly and translate technical information for non-technical audiences.
• Ability to manage multiple projects and deadlines simultaneously while working collaboratively in a team environment.
• Experience with administrative student information systems used in higher education (e.g., Banner, PeopleSoft) is beneficial.

• Knowledge of data governance principles and data management best practices within large organizations is also advantageous.

Application reviews will start on April 2, 2026, and will continue until the position is filled. Applications received by this date will be given priority. A cover letter and resume are required for consideration. The cover letter should be included in the same document as your resume and should specifically express your interest in the position, highlighting relevant skills and experience.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa.