Job description

Are you ready to be part of a company that s not just talking about the future, but actively shaping it? Join The AES Corporation, the largest US-based global power company with a team of 8,300 employees across 12 countries. AES has been ranked #1 by BloombergNEF in renewable energy sales to corporations in the US and Americas for five consecutive years, providing electricity for millions of people worldwide. We are proud to foster a strong workplace culture, earning prominent positions in Great Place to Work™ rankings across the markets where we operate. AES was also named one of the World’s Most Ethical Companies for the 13th consecutive year in 2026, highlighting our dedication to integrity, transparency, and responsible business practices. Our spirit of innovation continues to earn industry recognition. AES is the only seven-time winner of the Edison Electric Institute’s Edison Awards in the twenty-first century, a distinction honoring global leadership in advancing the electric power industry. If you re ready to be part of a company that s not just adapting to change, but driving it, AES is the place for you. We re not just building a more sustainable future , we re powering it. Apply now and energize your career with a true leader in global energy. At AES, we are looking for a Performance & Reliability Intern for Summer 2027 Role Description:   As a Performance & Reliability Intern, you will work directly with engineers and analysts who help drive reliability decisions. You will gain hands-on experience analyzing outage data, reliability metrics, and asset health information to  identify  trends, improve performance, and support critical business.  This internship provides exposure to real utility operations, where data-driven insights influence investment decisions, equipment replacement strategies, and reliability improvement initiatives. You will contribute to dashboards, analytics, and reporting tools used by leadership, while developing practical skills in Excel, Power BI, and utility performance analysis.  The ideal candidate is curious, analytical, detail-oriented, and eager to learn and  improves  reliability  through the use of  data.  Responsibilities:   Analyze outage data to  identify  patterns, recurring issues, underperforming circuits, and potential causes.  Assist with the preparation, validation, and reconciliation of reliability metrics, including SAIDI, SAIFI, and CAIDI.  Support asset health analyses by combining equipment condition, age, and  failure  information to help prioritize transformers, breakers, circuits, and other utility assets.  Build and  maintain  dashboards, reports, and visualizations  in  Power  BI.  Clean, organize, and  validate  data from multiple utility systems and sources.  Participate in working sessions and performance reviews with engineers.  Document data sources, assumptions, calculations, and analytical methodologies.  Support special projects related to reliability improvement, outage root cause analysis, asset performance, and infrastructure planning.  Requirements:   Currently pursuing a degree in engineering, data analytics, computer science, or a related field.  Working knowledge of Microsoft Excel and an interest in developing data analysis and visualization skills.  Interest in Power BI, SQL, Python, or similar analytical tools is preferred but not  required .  Strong attention to detail and an interest in data quality, validation, and reconciliation.  Ability to organize work, follow through on assignments, and collaborate with a multidisciplinary team.  Curiosity about the energy industry, utility operations, reliability, and asset management.  No prior utility experience is  required .  Location:   Dayton, Ohio or Indianapolis, Indiana  AES is an Equal Opportunity Employer who is committed to building strength and delivering long-term sustainability through diversity and inclusion. Respecting all backgrounds, differences and perspectives enables us to improve the lives of our people, customers, suppliers, contractors, and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to sex, sexual orientation, gender, gender identity and/or expression, race, national origin, ethnicity, age, religion, marital status, physical or mental disability, pregnancy, childbirth, or related medical condition, military or veteran status, or any other characteristic protected under applicable law. E-Verify Notice: AES will provide the Social Security Administration (SSA) and if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

Requirements

Must-haves

AES has been ranked #1 by BloombergNEF in renewable energy sales to corporations in the US and Americas for five consecutive years, providing electricity for millions of people worldwide.
At AES, we are looking for a Performance & Reliability Intern for Summer 2027
The ideal candidate is curious, analytical, detail-oriented, and eager to learn and  improves  reliability  through the use of  data.
Analyze outage data to  identify  patterns, recurring issues, underperforming circuits, and potential causes.
Assist with the preparation, validation, and reconciliation of reliability metrics, including SAIDI, SAIFI, and CAIDI.
Support asset health analyses by combining equipment condition, age, and  failure  information to help prioritize transformers, breakers, circuits, and other utility assets.
Build and  maintain  dashboards, reports, and visualizations  in  Power  BI.
Clean, organize, and  validate  data from multiple utility systems and sources.
Participate in working sessions and performance reviews with engineers.
Document data sources, assumptions, calculations, and analytical methodologies.
Support special projects related to reliability improvement, outage root cause analysis, asset performance, and infrastructure planning.
Currently pursuing a degree in engineering, data analytics, computer science, or a related field.
Working knowledge of Microsoft Excel and an interest in developing data analysis and visualization skills.
Strong attention to detail and an interest in data quality, validation, and reconciliation.
Ability to organize work, follow through on assignments, and collaborate with a multidisciplinary team.
Curiosity about the energy industry, utility operations, reliability, and asset management.
No prior utility experience is  required .
Dayton, Ohio or Indianapolis, Indiana

Nice-to-haves

Interest in Power BI, SQL, Python, or similar analytical tools is preferred but not  required .

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpython

Platform: workday
Effort: long