Engineer, Analytics

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 (NYSE : AES), a Fortune 500 company that's leading the charge in the global energy revolution. With operations spanning 14 countries , AES is committed to shaping a future through innovation and collaboration. Our dedication to innovation has earned us recognition as one of the Top Ten Best Workplaces for Innovators by Fast Company in 2022. And with our certification as a Great Place to Work , you can be confident that you're joining a company that values its people just as much as its groundbreaking ideas.

AES is proudly ranked #1 globally in renewable energy sales to corporations, and with $12.7B in revenues in 2023 , we have the resources and expertise to make a significant impact as we provide electricity to 25 million customers worldwide. As the world moves towards a net-zero future, AES is committed to meeting the Paris Agreement's goals by 2050. Our innovative solutions, such as 24 / 7 carbon-free energy for data centers, are setting the pace for rapid, global decarbonization.

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 cleaner, more sustainable future - we're powering it. Apply now and energize your career with a true leader in the global energy transformation.

A day in the life of an AES CE Analytics Engineer will include, but is not limited to :

Maintaining existing code bases and building out new use cases as part of the Clean Energy Data Analytics and Reporting (CEDAR) platform Delivering reliable KPIs and portfolio-level performance metrics for managers and executives Collaborating with the CE Performance Engineering team to expand site-level analyses to entire portfolios of assets using advanced (scripting) analytics and dashboarding tools Building and maintaining data warehouses and automated reporting solutions Working on AI / Machine Learning projects to improve the performance of the AES Clean Energy fleet of solar, wind, and energy storage assets

The Analytics Engineer supports a larger O&M team and serves as the subject matter expert for data-related aspects of operating and monitoring clean energy plants. This requires knowledge and experience working with SCADA / DAS systems, data warehouses, reporting tools, and other advanced analytics tools (i.e. Power, BI, Python, and R). Excellent communication, task management and planning skills needed, in addition to technical breadth.

The position may include up to 5-10% travel to partner offices and project locations.

Key Responsibilities

Operations

• Establish and maintain data warehouses to support the O&M team's advanced analytics and reporting needs
• Become liaison between Digital and Performance / Reliability Engineering teams, with goal of building scalable analytics solutions to look at project and equipment performance
• Build scalable, automated reporting solutions to meet the growing compliance demands of the CE Asset Management group
• Support the performance data needs of the O&M engineering group by delivering curated KPIs, automated lost energy reconciliation, and performance summary reports
• Develop dashboards to elegantly display portfolio performance metrics and identify underperformance trends and outliers
• Participate in and lead AI / Machine Learning initiatives in collaboration with the AES Digital Team and O&M team stakeholders

Collaboration

Growth and Leadership

Skills and Qualifications

Primary Qualifications

"Plus" Qualifications

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.