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Data and Analytics Assistant

Remote / Online - Candidates ideally in
Grand Forks, Grand Forks County, North Dakota, 58203, USA
Listing for: University of North Dakota
Part Time, Remote/Work from Home position
Listed on 2026-09-01
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 16 USD Hourly USD 16.00 HOUR
Job Description & How to Apply Below

Salary/Position Classification

  • $16.00 hourly, Non-Exempt (Eligible for overtime)
  • 10 hours per week
  • 100% Remote Work Availability:
    No
  • Hybrid Work Availability (requires some time on campus):
    No
Purpose of Position

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

Duties & Responsibilities
  • Data Organization & Management
    • Clean, organize, and maintain datasets using spreadsheets and database tools.
    • Ensure data accuracy, consistency, and proper documentation.
    • Assist with updating curriculum and program data relevant to assessment and accreditation processes.
    • Create summary tables, visuals, and reports for internal use.
  • Curricular Analytics
    • Prepare data for analysis of curriculum structures and pathway data to develop projections related to student outcomes.
  • Dashboard & Data Visualization Support
    • Prepare cleaned and structured data sheets for use in Power BI dashboards.
    • Collaborate with staff to ensure data is properly formatted and optimized for visualization.
    • Assist in testing dashboards for accuracy and usability.
  • General Office Support
    • Maintain organized file systems for datasets, reports, and documentation.
    • Scan and organize accreditation files for institutional record keeping purposes.
    • Participate in meetings, take notes when needed, and contribute to project planning discussions.
    • Perform other duties as assigned to support assessment, analytics, and accreditation activities.
Minimum Requirements
  • Current student enrolled at UND majoring in a data analysis related field (e.g., Data Science, Statistics, Computer Science, Economics, Educational Research, or similar).
  • Proficiency with spreadsheets using Excel.
  • Proficiency with building web applications using Node.js or the JavaScript language.
  • Experience with at least one statistical programming language (Python, R, SPSS preferred).
  • Familiarity with the Julia programming language.
  • Strong analytical, quantitative, and problem-solving skills.
  • Ability to manage multiple tasks, work independently, and meet deadlines.
  • Excellent attention to detail and commitment to data accuracy.
  • 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.

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