Please review the application instructions for further information: https://www.utsystem.edu/sites/default/files/offices/human-resources/Job%20Application%20Instructions_External.pdf
further the office's mission — to transform data into timely and meaningful information to support UT System initiatives and policy decisions, and to enhance transparency and accountability efforts — the purpose of this position is to conduct and interpret quantitative analysis, providing clear and insightful written and/or graphical displays of the findings for a wide variety of audiences.The researcher is expected to work independently and as part of the Institutional Research and Analysis team to meet stakeholder needs.
- Conducting statistical data analyses in a timely and accurate manner to evaluate institutional and UT System effectiveness. This work includes:
- Programming in SAS or equivalent statistical programming language (e.g., Python, R) to collect, gather, and analyze data independently through utilizing the UT System data warehouse and working directly with the campuses to obtain data, when necessary.
- Restructuring data files, merging data files from multiple sources, and cleaning data.
- Creating effective and creative dashboards and data visualizations using Power BI or equivalent tool (e.g., Tableau).
- Gathering and providing comparable benchmarks (national, state, and institutional peers) for metrics of interest.
- Fulfilling ad hoc data requests as needed.
- Interpreting findings and effectively communicating and displaying results through preparation of reports and graphics for research, reporting, and accountability purposes.
- Assisting in the preparation of fact sheets, one-pagers, and other deliverables for various stakeholders.
- Maintaining comprehensive and accurate documentation of data sources and methodological decisions, including the logic/reasoning for the choices made about the research approach taken.
- Bachelor's degree and three years of professional experience in research and data analysis; or bachelor's degree in data science, statistics, mathematics, or related field, and one year of professional experience in research and data analysis.
- Proven proficiency in using SAS or equivalent statistical programming language (e.g., Python, R) to analyze large-scale datasets.
- Experience working with relational databases.
- Master's degree in data science, statistics, mathematics, psychology, sociology, educational psychology, or a closely-related field.
- Advanced skills programming in SAS or equivalent statistical programming language (e.g., Python, R), including using data warehouses, pivot tables, dashboards, or similar tools to automate reporting.
- Strong knowledge of topics in higher education including institutional research and planning, student and faculty data, research, productivity, and efficiency.
- Experience in compiling and extracting higher education data from national and state data sources such as the U.S. Department of Education’s IPEDS Data Center, the National Science Foundation (NSF), and the Texas Higher Education Coordinating Board (THECB).
The University of Texas System is one of the nation’s largest systems of higher education, with 13 institutions that educate more than 240,000 students. Each year, UT institutions award more than one-third of all undergraduate degrees in Texas and more than half of all health professional degrees. With about 21,000 faculty – including Nobel laureates – and more than 85,000 health care professionals, researchers and support staff, the UT System is one of the largest employers in the state.
The Office of Institutional Research and Analysis (OIRA) expands and transforms traditional institutional research (IR) data into timely and meaningful information to reinforce The University of Texas System's mission, initiatives, and policy decisions. Institutional Research and Analysis (OIRA) monitors the broader higher education environment at the system, state, and national levels, and uses that knowledge along with in-depth research and analysis to make recommendations that inform policy decisions and business strategy. It supports a data culture at UT System that fosters integrity, innovation, transparency, collaboration, communication, and best practices. OIRA supports the 14 institutions of the UT System by providing some data and analyses to the campuses, engaging in joint research projects, and administering a centralized data request process with the goal of reducing the burden of requests on the campuses.
OIRA's next-generation IR office delivers advanced cross-functional competencies, services, and products, including the UT System Dashboard and data warehouse; seekUT®, a free online tool that provides wage data to students and their families; and Fast Facts and the UT System SmartBook, online and printed resources with key data points for all UT institutions. In addition to conventional IR roles of data collection and reporting, OIRA integrates skillsets in communications, information technology, business intelligence and analytics, data presentation/visualization, and research and reporting to support the work of UT System and its institutions.