The University of Texas System is an Equal Opportunity/ Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status or sexual orientation. Reasonable disability accommodation may be requested by contacting the Office of Talent and Innovation.

To 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.

This position is 100% remote for individuals residing in the state of Texas.

• 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.
• Other duties as assigned. 

Working Conditions

• Attention to detail and excellent written and oral communication skills.
• Ability to shift priorities quickly, without losing track of projects.
• Ability to work collaboratively on a research team.
• Aptitude at learning and applying new methods.

• 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).