Part-Time Data Analyst

University of North Texas System • Denton, TX

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About The Position

The Part-Time Data Analyst is a grant-funded employee in the Department of Rehabilitation & Health Services at the University of North Texas. The role collects, curates, and analyzes data, assists with reporting requirements, and contributes to research publications. The department is part of the College of Public Affairs and Health Sciences and prepares students and professionals to address social, health, and community challenges.

Schedules will vary. The position is security sensitive. No adverse environmental conditions are expected.

Requirements

• Bachelor's degree in statistics, data science, mathematics, computer science, psychology, public health, social sciences, or a related field; or an equivalent combination of education and relevant experience.
• Experience with data collection, management, analysis, and interpretation in an academic, research, or professional setting.
• Proficiency in Microsoft Excel and other data management applications.
• Ability to organize, analyze, and interpret quantitative and/or qualitative data accurately.
• Knowledge of research methodologies, statistical concepts, and data analysis techniques.
• Knowledge of data collection, cleaning, validation, and management practices to ensure data accuracy and integrity.
• Ability to analyze complex datasets, identify trends and patterns, and summarize findings to support research objectives.
• Skill in using statistical software, spreadsheets, and data visualization tools to organize, analyze, and present research findings.
• Ability to develop clear, accurate reports, tables, charts, and other visual representations of data.
• Strong analytical, critical-thinking, and problem-solving skills.
• Excellent organizational skills and attention to detail, with the ability to manage multiple assignments and meet established deadlines.
• Ability to communicate technical information and research findings effectively to technical and nontechnical audiences.
• Applicants must submit a minimum of two professional references as part of their application.

Responsibilities

• Collect, curate, and analyze data.
• Assist with reporting requirements.
• Contribute to research publications.

What This Job Offers

• Job Type: Part-time
• Career Level: Mid Level