Energy Analytics Intern — Data & Utility Insights

University of Texas; United States; On-site; USD 13,000 - 26,000; Part time

Job summary

University of Texas at Austin invites applications for an Energy Analyst Intern in Utilities and Energy Management on UT Main Campus. This part‑time, onsite internship supports data monitoring and energy analysis, with 10–20 hours weekly and the current arrangement through May 15, 2027.

Under supervision, interns gain hands‑on experience with real‑world energy data, Excel‑based analysis, and visualization tools; no prior professional experience is required, making this a learning‑focused role

Qualifications

• Currently enrolled as a student at the University of Texas at Austin in engineering, computer science, statistics, data science or a related field, and currently classified as a Junior, Senior or Graduate student.
• Comfortable working with data in Microsoft Excel (sorting, filtering, formulas, basic charts).
• Ability to work independently or as part of a team.
• Excellent communication skills and the ability to work collaboratively as part of a team.

Responsibilities

• Data Monitoring and Cleaning: Review meter data trends to help identify usage patterns and irregularities.
• Analysis Support: Assist the team with routine energy and water analysis, basic forecasting, and ad‑hoc reporting requests.
• Learning and Collaboration: Work alongside the UEM team to learn energy management concepts, tools, and workflows.

Skills

Data analysis

Excel proficiency

Teamwork

Communication

Self-motivation

Education

UT Austin student in engineering/CS/statistics/data science

Tools

Power BI

Tableau

Python

SQL

Job description

University of Texas at Austin invites applications for an Energy Analyst Intern in Utilities and Energy Management on UT Main Campus. This part‑time, onsite internship supports data monitoring and energy analysis, with 10–20 hours weekly and the current arrangement through May 15, 2027.

Under supervision, interns gain hands‑on experience with real‑world energy data, Excel‑based analysis, and visualization tools; no prior professional experience is required, making this a learning‑focused role