Data Analyst Intern

Salary/Position Classification

• $22.00 hourly, Non-Exempt (Eligible for overtime)
• 15 hours per week
• 100% Remote Work Availability:
  No
• Hybrid Work Availability (requires some time on campus):
  No

This is a part-time, non-benefited position. Only UND students are eligible to be hired in this position.

• Collect, clean, and analyze data from various internal and external sources
• Develop clear tables, charts, and visualizations that track student engagement and outcomes
• Collaborate with supervisors to interpret findings and identify insights to inform student success strategies
• Present data in clear, engaging formats suited to audiences from staff to leadership teams
• Support the creation of dashboards, infographics, and reports highlighting key trends and outcomes
• Assist with longitudinal data tracking, reporting, and evaluation efforts to support planning and decision-making
• Assist with maintaining data accuracy and quality through validation, organization, and documentation practices
• Follow institutional policies and best practices related to data privacy and confidentiality

• Strong analytical and data visualization skills
• Ability to handle sensitive information with professionalism and confidentiality
• Excellent written and verbal communication skills
• Detail-oriented, organized, and responsive to feedback
• Eager to learn and collaborate in a mission-driven environment

• Must be a current University of North Dakota student
• Intermediate proficiency in Microsoft Excel, including sorting, filtering, formulas, and basic data analysis
• Ability to synthesize complex information and present it in an accessible way
• Successful completion of a Criminal History Background Check

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the US and to complete the required employment eligibility verification form upon hire.
This position does not support visa sponsorship for continued employment.

• Current enrollment in a program such as data science, education, public health, economics, or a related field
• Advanced Microsoft Excel skills, including Pivot Tables, XLOOKUP, data cleaning, chart creation, and dashboard development
• Experience with student success metrics, institutional data, or research projects
• Understanding of equity-focused evaluation methods and practices