Paid Reliability Data Analytics Intern – Power Grid Insights

Xcel Energy Services Inc; United States; Hybrid; USD 26,000 - 29,000; Full time

Benefits offered by this job

Pension

401(k) plan

Paid time off (PTO)

Holidays

Job summary

Xcel Energy Services Inc. in Colorado is seeking a Data Analyst Intern to support the Electric Distribution System Performance (EDSP) team.

This paid internship applies data analytics to distribution system performance, reliability, and reporting. You will collaborate with engineers, operations, and data teams to pursue data-driven decisions and ongoing improvements, with mentorship and opportunities to present results to stakeholders.

Qualifications

• Current student, Sophomore or higher (as of Fall 2026)
• Enrolled in accredited college/university pursuing a degree in Data Science, Computer Science, Statistics, Engineering, or related field.
• Able to work full-time during summer (up to 40 hrs/week) or part-time during school year (up to 20 hrs/week) and commute in-person per hybrid policy.
• Able to commute to Lipan Distribution Center (LDC) at 1123 W 3rd Ave, Denver.

Responsibilities

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

Skills

Excel

Power BI

SQL

Python

Data analysis

Education

Pursuing degree in Data Science or related

Tools

Databricks

Job description

Xcel Energy Services Inc. in Colorado is seeking a Data Analyst Intern to support the Electric Distribution System Performance (EDSP) team.

This paid internship applies data analytics to distribution system performance, reliability, and reporting. You will collaborate with engineers, operations, and data teams to pursue data-driven decisions and ongoing improvements, with mentorship and opportunities to present results to stakeholders.