Associate Data Analyst / Data Analyst -- Gies College of Business

Duties & Responsibilities – Associate Data Analyst

Assessment and continuous improvement data coordination and reporting

• Document and execute processes related to the continuous improvement process of Gies College of Business programs, including analytics around student learning, outcomes, and instructor evaluation
• Develop and maintain standardized reports, including written reports, visualizations, and automated data reports, for faculty, staff, and students through coordination with other teams, such as the Undergraduate Programs team
• Maintain a robust set of analytics to understand and communicate the health and growth of Gies College of Business programs
• Develop and deploy training materials to assist faculty and staff with utilizing assessment and continuous improvement products

Data analysis and research

• In collaboration with other members of the Data Strategy, Analytics, and Reporting team, build and maintain an analytics strategy around enrollment management, projections, and academic planning for Gies College of Business programs
• Build a working knowledge of best practices in enrollment management, academic planning, and program strategy to support and build new analytic products for academic decision-makers
• Collaborate with other DSAR and Gies College of Business staff on other research projects as assigned and necessary for related work
• Share research findings via white papers, peer-refereed journals, and at practitioner and academic conferences

Data support for leadership

• Build a working relationship with assigned clients and develop an understanding of strategic needs and priorities
• Support clients in making curriculum-related decisions based on research on our college, colleges in our field, and accreditation standards for higher education
• Develop and maintain dashboards and visualizations to highlight findings and to support high-level strategies and priorities
• Write well-evidenced narratives, interpret statistics, analyze trends to guide academic programs, curriculum design and redesign, and planning

Duties & Responsibilities – Data Analyst

Assessment and continuous improvement data coordination and reporting

• Document and execute processes related to the continuous improvement process of Gies College of Business programs, including analytics around student learning, outcomes, and instructor evaluation
• Develop and maintain standardized reports, including written reports, visualizations, and automated data reports, for faculty, staff, and students through coordination with other teams, such as the Undergraduate Programs team
• Maintain a robust set of analytics to understand and communicate the health and growth of Gies College of Business programs
• Develop and deploy training materials to assist faculty and staff with utilizing assessment and continuous improvement products

Data support for leadership

• Make and recommend complex curriculum-related decisions based on research on our college, colleges in our field, and accreditation standards for higher education
• Develop dashboards and visualizations to highlight findings and to support high-level strategies and priorities
• Assist IT and departmental staff with the process of developing complex automations to provide real-time data to unit and College leadership
• Write well-evidenced narratives, interpret statistics, analyze trends to guide academic programs, curriculum design and redesign, and planning

Data analysis and research

• Along with other members of the Data Strategy, Analytics, and Reporting team, as well as faculty and members of coordinating units, create and maintain a research and analytics strategy around enrollment management, projections, and academic planning for Gies College of Business programs
• Assist the Data Strategy, Analytics, and Reporting team as an enrollment strategy expert, participating in analytical projects that require that perspective
• Conduct other research projects as assigned and necessary for related work
• Share research findings via white papers, peer-refereed journals, and at practitioner and academic conferences