Department
Mental Health Research and Innovation Division - Specialized Research Laboratory
About the Department
To revolutionize psychological wellness through compassionate, cutting-edge interdisciplinary approaches, groundbreaking investigations, and developing future leaders committed to enhancing individual, family, and community well-being.
Job Summary
The Data Science Analyst delivers technical support facilitating learner access and navigation of digital training platforms. The Specialist acts as a critical interface between end-users and the learning management system. Under direct supervision, this role encompasses diverse operational responsibilities, including collecting, organizing, and analyzing information from internal and external data systems, with responsibilities spanning data manipulation, statistical applications, programming, analysis, and computational modeling.
Responsibilities
- Monitor and respond promptly to support communication channels
- Provide clear, empathetic, and timely assistance to learners via communication mediums
- Diagnose platform issues and strategically escalate or redirect to appropriate team resources
- Collaborate with platform support teams to identify, document, and resolve technical challenges
- Identify and communicate systemic patterns or recurring concerns
- Engage closely with technology leadership, learning specialists, and program administrators to enhance learner support
- Contribute to interdepartmental projects involving data entry, communication, or technological assistance
- Conduct analytical research supporting various programmatic initiatives
- Potentially assist academic personnel with advanced data processes and computational modeling
- Gather, organize, and analyze information from diverse data repositories
- Maintain and evaluate statistical models utilizing machine learning best practices
- Execute supplementary tasks as organizational needs arise
Minimum Qualifications
Education:
Undergraduate degree in related discipline required
Work Experience:
Less than 2 years of professional experience in comparable roles
Preferred Qualifications
Experience:
- Digital learning platform familiarity
Technical Skills:
- Platform and customer support system knowledge
Preferred Competencies
- Superior communication capabilities
- Technical information translation skills
- Learner success commitment
- Technological adaptability
- Organizational proficiency
- Collaborative and independent work approach
Application Documents
- Resume/CV
- Cover Letter
Job Details
Job Family: Research
Role Impact: Individual Contributor
Weekly Hours: 40
Pay Rate: Hourly
Compensation Range: $24.04 - $31.25
Benefits Eligible: Yes
Equal Opportunity Employer Statement Included
Hybrid
University of Chicago is hiring a Data Science Analyst -TCOM
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