Institutional Data Analyst
Analyst
Analytics
Business Analytics
Business Intelligence
Data
Data Analysis
Data Analytics
Data Governance
Data Integration
Data Platform
Data Processing
Data Visualization
Database
Databases
Information Technology (IT)
Power BI
Reporting and Analytics
Sas Visual Analytics
SQL
Statistical Analysis Software
Statistical Reporting
Job Description
Based onsite in Richland County, this full-time role offers a robust benefits package and the chance to contribute to data-informed decision making within the state university system. The Institutional Data Analyst supports reporting, analytics, and strategic initiatives by collecting, cleaning, and analyzing institutional data from internal and external sources to inform dashboards and reports.
Responsibilities
- Support university reporting, analytics, and data-driven decision making as an entry-level professional.
- Extract, manage, and analyze institutional data from internal and external sources to back reporting, dashboards, and strategic initiatives.
- Collaborate with campus stakeholders to gather requirements, develop reports and data visualizations, and contribute to analytical projects related to enrollment and student success.
- Support data governance efforts by promoting data quality, consistency, and best practices.
Requirements
- 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.
- 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.
Technologies
- SQL
- R
- Python
- SAS
- SPSS
- Tableau
- Power BI
Benefits
- 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
Employment Type: Full Time
Application deadline: 08/16/2026.
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