Role Overview
The Data Analytics Engineer designs, develops, and supports integrated data solutions that enable informed decision-making across academic, research, and administrative functions of the university. This role plays a key part in managing and integrating data across multiple environments, including combining local data with central campus datasets within the UT Data Hub framework.
What You Will Do
Develops, codes, validates, and implements relational databases and integrated data structures that support analytics. Collaborates with functional partners to collect business requirements and develop and refine business logic. Creates and maintains dashboards, reports, and data visualizations that turn complex data into clear, actionable insights.
Why It Might Be a Fit
The ideal candidate will have strong technical expertise in using SQL to query large databases, manipulate and validate data, implement business logic, and analyze data. Ability to communicate with a wide range of stakeholders and collaborate effectively in a higher-education or enterprise setting.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent professional experience.
- Strong technical expertise in using SQL to query large databases, manipulate and validate data, implement business logic, and analyze data.
- Excellent knowledge of databases, data flows, and data manipulation in both operational and analytical contexts.
- Proven ability to synthesize complex and/or ambiguous information from multiple sources using a variety of tools and techniques to transform that information into consumable insights.
- Ability to communicate with a wide range of stakeholders and collaborate effectively in a higher-education or enterprise setting.
Benefits
- Impressive benefits package
- Teacher Retirement System of Texas (TRS)
- Criminal history background check
To apply for this job please visit utaustin.wd1.myworkdayjobs.com.
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