Data Analyst

The University of Redlands is seeking a detail-oriented Data Analyst to support research, evaluation, and data management work tied to projects focused on mental health and school-based services. In this part-time role, you will help organize and clean research datasets, perform basic quantitative analyses under guidance, and support research reporting and project deliverables.

• Organize, maintain, clean, and prepare research datasets for analysis.
• Review datasets for inconsistencies, missing data, errors, and other data-quality concerns, and assist with resolving discrepancies.
• Conduct basic quantitative data analyses under the guidance of the research team.
• Assist with preparing tables, figures, descriptive summaries, and other materials for research reports and project deliverables.
• Contribute to data-related activities across ongoing research, assessment, and evaluation projects.
• Follow established procedures for data security, confidentiality, documentation, and responsible research data management.

• Foundational understanding of quantitative data and research methods.
• Strong attention to detail and a commitment to data accuracy.
• Organizational skills to manage research data systematically.
• Ability to work independently on assigned tasks while communicating questions, challenges, and progress to the research team.
• Willingness to learn new software, data management procedures, and analytic techniques.
• Ability to maintain confidentiality and follow established data management protocols.

• SPSS
• Mplus
• R

• Type: Part-time
• Schedule: 10 Hours
• Term: Temporary (2 months)
• Availability: Immediately
• End date: Through December 31, 2026, or until grant funding is exhausted, whichever occurs first

Salary: $16.90-$16.90 per hour.
Hiring range: Anticipated hiring range is near or at the minimum of the classification, commensurate with the candidate’s education, experience, skills, and training.

• Training on project-specific software, procedures, and analytic approaches will be provided.
• Training and supervision will be provided for project-specific responsibilities.

• Standard office and field setting, including work in an office environment while sitting at a desk or computer workstation or in meetings.
• Duties also performed in various outdoor settings, including high elevation mountains, deserts, and other potentially hazardous environments.
• Requires working evenings, weekends, and some holidays.

• Incumbents regularly sit for long periods; walk short distances on a regular basis.
• Travel to various locations for meetings and work activities.
• Use hands and fingers to operate an electronic keyboard or other office machines; reach with hands and arms.
• Stooping or kneeling or crouching to file.
• Speak clearly and distinctly to answer telephones and provide information.
• See to read fine print and operate a computer.
• Hear and understand voices over telephone and in person.
• Lift, carry, and/or move (as required by the role).

• Introductory period: Six (6) Months.
• Posting date: October 30th, 2026.
• Final date to receive applications: Open Until Filled, Apply Immediately.
• For more information: Human Resources (redlands.edu): https://(Use the "Apply for this Job" box below).-resources

• Employment is contingent upon successful completion of a criminal background check.
• Offers are conditional and may be rescinded if disqualifying information is found or if information was withheld or falsified.
• Current employees may be affected if the check is not satisfactorily completed.
• Certain positions require a valid driver’s license and enrollment in the DMV Government Employer Pull Notice Program to verify license status and driving record.
• Select positions may require a pre-employment physical exam, including the ability to lift 50+ lbs;
  Public Safety Officers must also pass a psychological evaluation.

• Experience working with research datasets or supporting research projects.
• Familiarity with statistical software such as SPSS, Mplus, R, or similar programs.
• Coursework or experience in psychology, counseling, education, public health, social sciences, statistics, or a related field.
• Interest in mental health research, program evaluation, or school-based services.
• Advanced statistical analysis experience is not required.