Institutional Data Analyst

Institutional Data Analyst

Department: PROV Office of Institutional Research Assessment and Analytics (OIRAA)

Advertised Salary Range:

Part/Full Time: Full Time

About UofSC

From the Upstate to the Lowcountry, the University of South Carolina system is transforming the lives of South Carolinians through the impact of our eight institutions and 20 locations throughout the state. More than 50,000 students are enrolled at one of eight institutions, including the research campus in Columbia and comprehensive four-year universities in Aiken, Upstate and Beaufort. In addition, our Palmetto College campuses in Salkehatchie, Union, Lancaster and Sumter enable students to earn associate or bachelor's degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service — helping to build healthier, more educated communities in South Carolina and beyond.

Inclusive Excellence Statement

Advertised Job Summary

The Institutional Data Analyst is an entry-level professional responsible for supporting university reporting, analytics, and data-informed decision-making. This role focuses on extracting, managing, and analyzing institutional data from internal and external sources to support reporting, dashboards, and strategic initiatives. The analyst collaborates with campus stakeholders to gather requirements, develop reports and data visualizations, and contribute to analytical projects related to key institutional priorities such as enrollment and student success. Additionally, the role supports data governance efforts by promoting data quality, consistency, and best practices. This position is ideal for individuals with foundational experience in data analysis, statistics, or related fields who are seeking to build expertise in higher education analytics.

Minimum Qualifications (Classified and Unclassified positions)

Preferred Qualifications

• Exposure to data analysis, reporting, or research methods through coursework, internships, or projects

• Experience with one or more tools such as SQL, R, Python, SAS, or SPSS

• Familiarity with data visualization tools such as Tableau, Power BI, or similar

• Interest in higher education data, institutional analytics, or public sector work

Knowledge/Skills/Abilities

• Foundational understanding of data analysis and basic statistical concepts

• Ability to work with structured datasets and learn data querying techniques (e.g., SQL)

• Strong attention to detail and ability to manage multiple tasks in a deadline-driven environment

• Effective written and verbal communication skills, with the ability to present data clearly

• Ability to work both independently and collaboratively within a team

• Willingness and ability to learn new tools, systems, and technologies

Job Close Date

08/16/2026

Special Instructions to Applicant

Positions are advertised for a minimum of five (5) business days on our job website. After five (5) business days, positions can be closed at the discretion of the department at any time. This employment site is updated on a regular basis. The length of the recruitment and screening process may vary from position to position, depending upon a variety of factors. Should review of your qualifications result in a decision to pursue your candidacy, you will be contacted by phone or email. We are only accepting applications submitted by August 16, 2026. The University of South Carolina offers a valuable benefits package including but not limited to:

• Health and Life Insurance

• Retirement Programs

• Paid Tuition

• Dependent Scholarships

• Annual Leave

• Sick Leave

• 13 Paid Holidays (including an extended December holiday)

• Paid Parental Leave

• Professional Development Opportunities

To apply, please visit:

EEO Statement

The University of South Carolina does not discriminate in educational or employment opportunities on the basis of race, sex, gender, gender identity, transgender status, age, color, religion, national origin, disability, sexual orientation, genetics, protected veteran status, pregnancy, childbirth or related medical conditions.