Data and Analytics Assistant

University of North Dakota; Grand Forks (ND); On-site; USD 18,000 - 26,000; Part time

Job summary

University of North Dakota seeks a part-time, non-benefited data analytics assistant. The position is 10 hours per week, with no remote work availability and no on-campus hybrid requirement.

Responsibilities include data organization, curricular analytics, and supporting Power BI dashboards for internal reporting. Requirements include current UND student status in a data-analysis related field, strong Excel skills, and experience with at least one statistical language such as Python or R.

Qualifications

• Current UND student majoring in a data analysis field as listed in eligibility.
• Proficiency with Excel and spreadsheets is required.
• Experience with at least one statistical language (Python, R, SPSS).
• Familiarity with Julia language and data visualization workflows.
• Ability to manage multiple tasks and meet deadlines with accuracy.

Responsibilities

• Data Organization & Management: clean, organize, and maintain datasets with spreadsheets and databases.
• Curricular Analytics: prepare data for analysis of curriculum structures and projections.
• Dashboard & Data Visualization Support: prepare data for Power BI dashboards and assist testing.
• General Office Support: maintain file systems and assist with accreditation activities.

Skills

Excel proficiency

Python/R

Data analysis

JavaScript

Julia familiarity

Education

Data analysis related field (e.g., Data Science, Statistics, CS)

Tools

Node.js

JavaScript

Job description

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 identityand 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.