Collaborative Services Internship Office of Institutional Research and Data Analytics

Collaborative Services Internship for the Office of Institutional Research and Data Analytics

Department:
Institutional Research and Data Analytics

Locations:
Albany, NY

Posted:
Aug 19, 2026

Closes:
Open Until Filled

Type:
Part-time Temporary

Salary Type:
Hourly

Salary Range: $18.00 - $20.00

Position ID: 203924

The State University of New York, or SUNY, is the largest comprehensive system of public higher education in the United States, with 64 colleges and universities spanning the state from Long Island to the Adirondacks to Buffalo. SUNY System Administration employees, based in Albany and New York City, provide critical support for SUNY campuses, employees, and students to advance SUNY's mission of providing high-quality, affordable higher education for all.

Across a wide range of roles, from finance and legal counsel to student support, academic affairs, IT, admissions, and more, our employees work toward advancing the four priority pillars established by SUNY Chancellor John

B. King Jr. and the SUNY Board of Trustees: student success; research and scholarship; diversity, equity, and inclusion; and economic development and upward mobility. SUNY System Administration is a mission-driven workplace with robust New York State benefits including health insurance, retirement, time off, and paid family leave.

The Office of Institutional Research and Data Analytics (OIRDA) seeks a Student Assistant to support SUNY's Institutional Research Collaborative Services initiative. Through this initiative, OIRDA provides participating campuses with support for data analysis, reporting, dashboard development, survey, and applied research on student populations, community demographics, and regional labor markets.

The Student Intern will gain hands-on experience with higher education data and public datasets related to population trends and demographics. The intern will support Collaborative Services projects by helping campuses use demographic and higher education data for planning, reporting, and decision-making. This may include developing campus-specific reports and visualizations, supporting meetings and follow-up materials, and assisting with related data, survey, research, and project tasks.

This position is a strong fit for a student interested in data analytics, applied research, report writing, public policy, or higher education research.

Students will gain:

• Hands-on experience with applied research and demographic analysis projects.
• Exposure to higher education, demographic, and workforce data used in campus planning and decision-making.
• Opportunities to strengthen analytical, research, and communication skills.
• Mentorship from experienced institutional research and data analytics professionals.

Key

Duties and Responsibilities:

Demographic Analysis:

• Support the extraction, cleaning, combining, and reporting of SUNY and other data (e.g., Census, WICHE) used in campus-level demographic reports.
• Contribute to drafting campus-level reports, including visualization development, summaries of methods, findings, and key takeaways.
• Maintain documentation, methodology notes, data definitions, and reporting procedures.

Campus and Project Support:

• Support Collaborative Service meetings through note taking, presentation preparation, and follow-up materials.
• Assist with ad hoc data requests, survey analysis, research questions, and project tasks related to IR Collaborative Services.

Minimum Qualifications:

• Currently enrolled in a graduate degree program at a SUNY institution.
• Strong written, verbal, and interpersonal communication skills.
• Proficiency with Microsoft Excel, Word, and PowerPoint.
• Strong analytical and problem-solving abilities.
• Strong attention to detail, organization, and follow-through.
• Ability to work both independently and collaboratively in a team environment.
• Demonstrated interest in research, data analysis, or data visualization.

Preferred Qualifications:

• Coursework in education, market research, statistics, economics, public policy, sociology, geography, information science, data analytics, business analytics, computer science, or a related field.
• Experien…