Analytics Engineer

Job Posting Title:

Analytics Engineer

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Hiring Department:

Data to Insights

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Position Open To:

All Applicants

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Weekly Scheduled Hours:

40

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FLSA Status:

Exempt

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Earliest Start Date:

Immediately

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Position Duration:

Expected to Continue Until Aug 31, 2026

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Location:

Texas

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Job Details:

General Notes

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 August 31, 2026.

The University of Texas at Austin provides an outstanding benefits package to staff, including: 

• Competitive health benefits (Employee premiums covered at 100%; family premiums at 50%) 
• Vision, dental, life, and disability insurance options 
• Paid vacation, sick leave, and holidays 
• Teachers Retirement System of Texas (a defined benefit retirement plan) 
• Additional voluntary retirement programs: tax sheltered annuity 403(b) and a deferred compensation program 457(b) 
• Flexible spending account options for medical and childcare expenses 
• Training and conference opportunities 
• Tuition assistance 
• Athletic ticket discounts 
• Access to UT Austin's libraries and museums 
• Free rides on all UT Shuttle and Capital Metro buses with staff ID card 

For more details, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards 

This position requires you to maintain internet service and a mobile phone with voice and data plans to be used when required for work.

This position provides life/work balance with typically a 40-hour work week and travel generally limited to training (e.g., conferences/courses).

Purpose

We are seeking an Analytics Engineer to join the D2I Analytics team. As an Analytics Engineer, you operate at the intersection of data analytics, data engineering, and business intelligence to build robust, efficient, and scalable data structures to support high-quality, nuanced, and timely data analytics to empower strategic decisions and policies by University leadership and stakeholders.

Responsibilities

Data Analytics & Data Engineering:

• 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.
• Collaborates with technical partners to locate, clean, and orchestrate source data.
• Crafts code for the translation and transformation of functional business logic into a high-scale database environment that can readily support the production of descriptive, predictive, and prescriptive analytics and consumable reports, dashboards, and other tools to support University decision-making.
• Understands how to best design database structures for meaningful data visualizations and interactive tools.
• Engages in best practices in data analytics and data engineering – including robust validation processes, testing/deployment procedures, algorithms for data mining, version control and code integration, thorough documentation, and automation and streamlining of data processing pipelines.
• Applies creativity and flexibility to finding solutions for new institutional data challenges.
• Assists with special projects and ad hoc data requests as needed.

Analytical Architecture

In collaboration with reporting manager:

• Assists with diagramming analytics architecture strategy and roadmap, as well as translating strategy into actionable tasks.
• Coordinates the development, promotion, and implementation of select best practices in analytics architecture and data engineer