
Data amp; Insights Graduate Research Assistant
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Job overview
The Data & Insights Graduate Research Assistant will support OCLD data infrastructure, program assessment, analysis, reporting, and research. The role includes developing data systems and collection tools, analyzing qualitative and quantitative information, creating Tableau dashboards and reports, supporting IRB studies, and preparing staff training materials. Applicants must be master's or PhD students enrolled in at least 9 credit hours, in good academic standing, and approved by their advisor.
Skills & qualifications
Skills
Qualifications
Full job description
Data Infrastructure and Systems Development:: Help design, organize, and maintain sustainable data systems that bring programmatic information together in accessible and useful ways, including a centralized database for all OCLD programs.Assessment Design and Data Collection: Design and implement program evaluation processes, surveys, feedback forms, and other data collection tools for events, advising sessions, experiential learning programs, and related OCLD initiatives to assess learning outcomes, establish meaningful feedback loops, and support evidence-based decision-making.Data Analysis and Interpretation: Clean and analyze qualitative and quantitative data to identify patterns, trends, needs, and opportunities for program improvement.Reporting and Data Storytelling: Create reports, Tableau dashboards, summaries, and visualizations that communicate findings clearly to internal and external stakeholders.Research: Conduct literature reviews; manage data collection, analysis, and reporting for ongoing IRB studies; help design and implement a new study on the integration of teaching development into broader academic career development; and prepare IRB applications, protocols, and related documentation as needed.Team Training and Data Quality: Develop documentation, guidance, and training materials to help OCLD staff use new data systems consistently and maintain shared data quality practices over time.What Were Looking ForMasters or PhD students enrolled in at least 9 credit hours; in good academic standing with advisor approval We welcome applicants from all disciplines and backgrounds. Strong candidates will bring:
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