Data Analyst Intern- TX

Xcel Energy
Amarillo, Texas, United StatesPosted Sep 8, 2026
Data Science / ML

About the role

Are you looking for an exciting job where you can put your skills and talents to work at a company you can feel proud to be a part of? Do you want a workplace that will challenge you and offer you opportunities to learn and grow? A position at Xcel Energy could be just what you’re looking for. At Xcel Energy, our employees are the driving force behind our success. So we make sure that, here, you can be your best. Doing work that makes a difference for neighbors and communities. Working with a team you can count on to push you. Expanding skills, staying ready for change, and capturing opportunities to grow. All with the support, rewards and recognition you need to thrive – during your internship and beyond. As a Data Analytics Intern at Xcel Energy in Texas, you will support the data analytics team in transforming complex utility data into actionable insights that drive operational efficiency, improve customer experience, enhance grid reliability, and support sustainable energy initiatives. You will work with large datasets related to energy usage, grid operations, customer behavior, outage management, and regulatory reporting. The role offers hands-on experience with industry-leading tools including Power BI for visualization and dashboards, Databricks for big data processing and analytics. This is an excellent opportunity to apply analytical skills to real-world challenges in the energy sector, such as demand forecasting, renewable integration, and operational optimization. Typical intern responsibilities may include but are not limited to:

  • Develop and maintain interactive Power BI dashboards and reports to visualize energy consumption trends, outage metrics, and key performance indicators for internal stakeholders and leadership.
  • Perform exploratory data analysis and statistical modeling to identify patterns in customer usage, predict peak demand, or support asset management and predictive maintenance initiatives.
  • Collaborate with cross-functional teams (ope

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