1. Manage data. Inspect, clean, and transform data. Run database queries and provide datasets to E&A team members, OMSE leadership, and unit partners.
2. Design and maintain large data sets. Merge files, restructure and recode variables, assign labels and values, check for errors, create codebooks, create and update data set documentation, and other related technical tasks.
3. Apply systems knowledge to inform business intelligence. Help project teams understand the range of data available to inform the design and development of educational experiences/projects, program evaluation, and scholarship.
4. Use and apply continuous quality improvement approaches to education data systems. Develop, streamline, error-proof, and automate processes for managing data and producing reports
5. Contribute to academic operations and unit scholarship. Prepare and present reports to OMSE teammates, faculty educators and innovators, and academic governance and accreditation committees.
6. Manage and review data access. Act as a consultant between E&A and various outside stakeholders, including research partners, making sense of partner data needs and facilitating secure access to data sets.
7. Support user experience. Provide support for end-users of software applications and learning experiences to explain data collection practices and specific data variables.
8. Institutional Committees and Service. Participate with UMMS Data Governance committees and contribute to development of standardized data definitions across the medical education continuum.