Data Analytics Engineer - Hybrid Data Solutions for Research

University of Texas at Austin; Austin (TX); Hybrid; USD 80,000 - 100,000; Full time

Job summary

University of Texas at Austin’s College of Natural Sciences is seeking a Data Analytics Engineer to design, build, and support integrated data solutions for university analytics and reporting. You will work with academic units, central offices, researchers, and IT partners to unify data across environments within UT Data Hub, while upholding governance and compliance requirements.

You will translate institutional needs into robust data structures, collaborate across decentralized teams, and

Qualifications

• Bachelor's degree or equivalent professional experience.
• Strong SQL, databases, and data manipulation skills.
• Ability to communicate with a wide range of stakeholders and collaborate in higher education or enterprise settings.
• Proven prioritization and organizational skills with the ability to handle multiple projects.

Responsibilities

• Develops relational databases and integrated data structures for analytics.
• Collects requirements and refines business logic with partners.
• Cleans and orchestrates source data with technical partners.
• Translates business logic into scalable data structures and analytics outputs.
• Designs structures for meaningful data visualizations and dashboards.
• Automates data processing pipelines and documents work.

Skills

SQL proficiency

Database design

Data governance

Stakeholder communication

Prioritization

Education

Bachelor's degree or equivalent in CS/IS/Data Science

Tools

PostgreSQL

Power BI

Tableau

Job description

University of Texas at Austin’s College of Natural Sciences is seeking a Data Analytics Engineer to design, build, and support integrated data solutions for university analytics and reporting. You will work with academic units, central offices, researchers, and IT partners to unify data across environments within UT Data Hub, while upholding governance and compliance requirements.

You will translate institutional needs into robust data structures, collaborate across decentralized teams, and