Collaborative Services Internship for the Office of Institutional Research and Data Analytics
Indexed description
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.
- 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.
- Support Collaborative Service meetings through notetaking, presentation preparation, and follow-up materials.
- Assist with ad hoc data requests, survey analysis, research questions, and project tasks related to IR Collaborative Services.
- 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.
- Coursework in education, market research, statistics, economics, public policy, sociology, geography, information science, data analytics, business analytics, computer science, or a related field.
- Experience with data analysis tools such as R, Python, or similar programming language.
- Interest in higher education research, institutional research, assessment, program evaluation, or applied analytics.
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