Research Analyst

University of North Dakota • Grand Forks, ND

1d

About The Position

This is a part-time, non-benefited position for UND students only. The Research Analyst will support a data project on campus climates and racial microaggressions by cleaning and managing research datasets, documenting data-cleaning decisions, and preparing data and codebooks for future analysis, manuscript development, and publication. The position pays $30.00 per hour, is non-exempt and eligible for overtime, and may involve up to 40 hours per week during winter break. The position is not remote and does not require time on campus, according to the listed work-availability details. The role requires responsible handling and secure storage of confidential research data, along with tracking and reporting hours worked on the principal investigator’s data project. Applicants must be UND students and have doctoral-level training in a relevant field. A criminal history background check is required. The position does not support visa sponsorship for continued employment.

Requirements

• Must be a UND student.
• Doctoral-level training in education, sociology, higher education, social science, data science, statistics, or a related field.
• Experience using SPSS, Excel, R, Stata, Python, or comparable data analysis software.
• Ability to handle confidential research data responsibly and follow data security procedures.
• Successful completion of a Criminal History Background Check.
• Verify identity and eligibility to work in the United States and complete the required employment eligibility verification form upon hire.

Responsibilities

• Clean and manage campus climates and racial microaggressions research data files, including CSV and SPSS datasets.
• Review, organize, and document data-cleaning decisions.
• Create and refine demographic variables, including country of origin, citizenship status, major field, and STEM flags.
• Check data quality, missing values, variable labels, coding consistency, and file structure.
• Provide feedback on variable construction and analytic readiness.
• Prepare cleaned datasets and codebooks for future analysis, manuscript development, and publication.
• Maintain secure data storage and follow confidentiality expectations for sensitive research data.
• Track and report hours worked on the PI’s data project.

What This Job Offers

• Job Type: Part-time
• Education Level: Ph.D. or professional degree