The University of Texas at Austin is one of the largest public universities in the United States. Founded in 1883, the university has grown from a single building, eight teachers, two departments and 221 students to a 350-acre main campus with 21,000 faculty and staff, 16 colleges and schools and more than 50,000 students.

The Data to Insights (D2I) Initiative at UT Austin is an investment to build a trusted, integrated, and scalable information infrastructure that transforms complex UT data into valued insights for data-informed decisions.

As a team member in the Data to Insights (D2I) Initiative, you will work with a cross-campus team using the latest cloud technologies to build a next-generation data ecosystem that will improve decision-making and advance the university’s mission. We believe the best ideas arise from collaborative work among colleagues from varied backgrounds and experiences. We actively seek diversity of viewpoint and perception in our student, faculty, and staff recruiting and retention practices. If you’re the type of person who loves to learn and wants to know your work has meaning, you may find your career home at UT Austin. Please note that this position is currently funded through December 31, 2025.

Responsibilities

• Support a variety of analytic solutions by conducting complex data analysis and profiling; work with subject matter experts and other team members to document data definitions, business rules and other needed metadata.
• Work closely with technical and analytical teams to ensure data quality and validate developed reporting solutions.
• Communicate complex concepts clearly to technical and non-technical staff.
• Document, maintain and continuously improve the quality of the D2I processes and knowledge base.
• Other related duties as assigned.

Required Qualifications

Bachelor’s degree or at least 4 years of professional experience in information technology or related field. Demonstrated proficiency in data analysis, and a passion for using data to answer questions and solve problems. History of working independently and in dynamic team environments. Solid ability to analyze and interpret data. Track record of identifying business issues and opportunities. Proven prioritization and organizational skills with the ability to handle multiple projects simultaneously. Ability to communicate effectively with a wide range of stakeholders to gather data requirements and produce appropriate analysis. Experience querying data to perform ad hoc analysis and deliver meaningful results. Strong attention to detail and an analytical mindset. Excellent knowledge of databases, data flows, and data manipulation in both operational and analytical contexts. Critical thinking and creative problem solving. Excellent interpersonal skills to positively contribute to collaborative team, influence without authority, and thoughtfully and productively give and receive feedback.

Relevant education and experience may be substituted as appropriate.

Preferred Qualifications

Experience in higher education administration, programming, or analysis. Interest in higher education data, processes, and progress. Broad and deep knowledge of UT software and data systems. Familiarity with UT Austin's administrative computing environment. Proficiency using software such as Python, R, SPSS, or SQL to query, manipulate and analyze data. General understanding of programming concepts and methodology. Knowledge of federal education law and policies related to education records. Experience with metadata management software. Experience using Agile methodologies.