Part-Time Research Data Analyst: Mental Health

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 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.