Paid Reliability Data Intern: Grid Analytics

Xcel Energy Inc; Denver (CO); Hybrid; USD 54,443,000 - 57,308,000; Full time

Job summary

Xcel Energy is seeking a Data Analyst Intern to support the Electric Distribution System Performance team in Colorado. The paid internship provides hands-on experience transforming large datasets into actionable insights that support operational decisions and continuous improvement.

The role collaborates with engineers and analysts, offering mentorship, exposure to dashboards with Excel, Power BI, and Databricks, and a path for professional development through 2027 start.

Qualifications

• Current student pursuing a degree in Data Science, Computer Science, Statistics, Engineering, or related field.
• Able to work full-time during summer (up to 40 hours/week) or part-time during school year (up to 20 hours/week).
• Hybrid work policy with in-person commuting to Denver Lipan Distribution Center.

Responsibilities

• Analyze distribution system performance data (outages, reliability metrics, asset performance) to identify trends and insights.
• Develop and maintain dashboards and reports using Excel, Power BI and Databricks.
• Support data validation, cleansing, and preparation across multiple data sources.
• Collaborate with engineering and operations teams to support data-driven decision-making.
• Perform ad-hoc analysis and reporting to support EDSP initiatives.
• Document analytical methods and present findings to team members.

Skills

Excel

Power BI

SQL

Python

Analytical skills

Communication skills

Education

Pursuing Data Science/CS/Statistics/Engineering

Tools

Databricks

Job description

Xcel Energy is seeking a Data Analyst Intern to support the Electric Distribution System Performance team in Colorado. The paid internship provides hands-on experience transforming large datasets into actionable insights that support operational decisions and continuous improvement.

The role collaborates with engineers and analysts, offering mentorship, exposure to dashboards with Excel, Power BI, and Databricks, and a path for professional development through 2027 start.