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

University of Illinois Urbana-Champaign•Urbana, IL

About The Position

The Associate Data Analyst and Data Analyst are part of the IT Partners Data Strategy, Analytics, and Reporting group at the Gies College of Business. The Associate Data Analyst performs data analysis related to enrollment, retention, and graduation and collaborates with college units to develop reports and analytical products supporting academic planning, scheduling, and resource allocation. The Data Analyst performs complex data analysis and applied research in these areas and provides strategic analysis and recommendations to college units and leadership in support of academic planning, curriculum development, scheduling, and resource allocation. Both levels coordinate assessment and continuous-improvement data and reporting. They document and execute processes related to continuous improvement of college programs, including analytics on student learning, outcomes, and instructor evaluation; maintain standardized written, visual, and automated reports; maintain analytics that communicate program health and growth; and develop training materials to help faculty and staff use assessment and continuous-improvement products. The Associate Data Analyst also builds analytics strategies for enrollment management, projections, and academic planning; develops knowledge of relevant best practices; contributes to research projects; shares findings through white papers, peer-reviewed journals, and conferences; and supports assigned clients by understanding their priorities, researching curriculum-related decisions, developing dashboards and visualizations, and interpreting statistics and trends to guide academic programs, curriculum design, and planning. The Data Analyst develops and maintains research and analytics strategies with the Data Strategy, Analytics, and Reporting team, faculty, and coordinating units; contributes enrollment-strategy expertise; recommends complex curriculum-related decisions based on research and accreditation standards; develops dashboards and visualizations; assists IT and departmental staff with complex automations that provide real-time data to leadership; and conducts and shares research as assigned. This is a 100% full-time Civil Service 5031 – Information Technology Technical Associate appointment on a 12-month basis. The position is based in Champaign-Urbana. The expected start date is as soon as possible after 12/1/2026. The position is not eligible for work-authorization sponsorship.

Requirements

High school diploma or equivalent.
Associate Data Analyst: two years of work experience in IT-related functions, such as hardware/software support, programming, network design, network engineering, IT systems integration, or a closely related field; eligible IT-related college coursework may substitute according to the stated credit-hour equivalencies.
Data Analyst: three years of work experience in IT-related functions, such as hardware/software support, programming, network design, network engineering, IT systems integration, or a closely related field; eligible IT-related college coursework may substitute according to the stated credit-hour equivalencies.
Demonstrated experience in data analytics, statistical analysis, or applied research involving quantitative methods.
Data Analyst: demonstrated experience in data analytics related to enrollment management, academic planning, or higher education.

Nice To Haves

Associate Data Analyst: bachelor’s degree in Statistics, Data Science, Data Analytics, Educational Psychology with a quantitative or measurement focus, or a closely related quantitative field.
Associate Data Analyst: one year of data analytics experience in an educational or academic environment, including enrollment management, academic planning, learning analytics, or accreditation-related reporting.
Data Analyst: bachelor’s degree in Statistics, Data Science, Data Analytics, Educational Psychology with a quantitative or measurement focus, or a closely related quantitative field.
Data Analyst: three years of data analytics experience in an educational or academic environment, including enrollment management, academic planning, learning analytics, or accreditation-related reporting.
Data Analyst: experience working with online and hybrid academic programs.
Experience with academic operations or enrollment-management platforms such as Coursedog, Ad Astra, or Slate.

Responsibilities

Coordinate and report assessment and continuous-improvement data for Gies College of Business programs.
Document and execute processes for program continuous improvement, including analytics on student learning, outcomes, and instructor evaluation.
Develop and maintain standardized written reports, visualizations, and automated reports in coordination with other teams.
Maintain analytics that communicate the health and growth of college programs.
Develop and deploy training materials to help faculty and staff use assessment and continuous-improvement products.
Build or maintain analytics and research strategies for enrollment management, projections, and academic planning.
Conduct research projects and share findings through white papers, peer-reviewed journals, and practitioner and academic conferences.
Build working relationships with assigned clients and understand their strategic needs and priorities (Associate Data Analyst).
Support or recommend curriculum-related decisions using research on the college, peer institutions, and higher-education accreditation standards.
Develop dashboards and visualizations to communicate findings and support strategic priorities.
Write evidence-based narratives, interpret statistics, and analyze trends to guide academic programs, curriculum design and redesign, and planning.
Assist IT and departmental staff in developing complex automations that provide real-time data to unit and college leadership (Data Analyst).
Participate in analytical projects as an enrollment-strategy expert (Data Analyst).
Collaborate with Gies College of Business, faculty, coordinating units, and Data Strategy, Analytics, and Reporting colleagues on related work.