Data Analyst

University of Redlands; Redlands (CA); On-site; USD 19,000 - 27,000; Part time

Job summary

The University of Redlands is seeking a detail-oriented Data Analyst to support research, evaluation, and data management for mental health and school-based services. This part-time role focuses on organizing and cleaning datasets, performing basic analyses, and contributing to research reports.

Ideal candidates have foundational knowledge of quantitative methods, strong attention to detail, and the ability to work independently while communicating progress to the research team.

Qualifications

• Foundational understanding of quantitative data and research methods.
• Strong attention to detail and data accuracy.
• Organizational skills to manage research data systematically.
• Ability to work independently and communicate progress.

Responsibilities

• 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.
• Prepare 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.

Skills

Quantitative data understanding

Attention to detail

Independent work

Progress communication

Tools

SPSS

Mplus

R

Job description

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.

Key Responsibilities

• 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.

Requirements

• 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.

Tools and Technologies

• SPSS
• Mplus
• R

Position Details

• 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 and Supervision

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

Working Conditions

• 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.

Physical Demands

• 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).

Additional Information

• Introductory period: Six (6) Months.
• Posting date: October 30th, 2026.
• Application deadline: Open Until Filled, Apply Immediately.
• For more information: Human Resources (redlands.edu): https://www.redlands.edu/offices-directory/offices/human-resources

Screening and Compliance

• 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.

Preferred Qualifications

• 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.