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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

How to Apply

A resume/CV and cover letter are required. If you are unable to complete an application due to a disability, contact (909) 748-8040 to ask for accommodation or an alternative application process.

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.

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