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.

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.

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

• Collaborate with the Performance Engineering team to expand the consumption of useful performance analyses by utilizing dashboarding/BI tools
• Together with the CE Operations Technology and Digital teams, work to deliver successful data pipelines from DAS providers to data warehouses
• Provide technical support and maintenance of automated reporting systems utilized by the CE Asset Management group
• As a subject matter expert, advise other teammembers across the organization on best practices for data-related projects

Growth and Leadership

• Participate in AES CE's growth planning process by contributing to process improvement task forces and other strategic planning activities
• Improve and develop processes for utilizing data to ensure the operation of safe, quality and high-performance projects
• Willingness to continue to learn and grow your skills, constantly evaluating how AES CE operations can be improved

Primary Qualifications

• Undergraduate degree in Engineering, Computer Science, or equivalent technical field
• Moderate-to-advanced proficiency with Python or R, as well as SQL
• Experience developing reports and dashboards in Power BI, Tableau, Qlik Sense or another BI software
• Experience with the technical/electrical aspects of Solar PV, Wind, and Energy Storage Systems
• Familiarity with DAS and SCADA systems
• Strong analytical thinking and problem-solving skills
• Ability to work effectively with Microsoft software programs, including but not limited to Excel, Outlook, Word, and PowerPoint
• Excellent written and verbal communication skills
• High degree of commitment to a quality safety culture and an incident-free work environment
• Personal values consistent with those of the AES Corporation; Safety, Integrity, Excellence, Agility and Fun

"Plus" Qualifications

• Master's degree in Engineering, Computer Science, Data Science, or equivalent
• Experience with Artificial Intelligence and Machine Learning
• Experience with Google Cloud Platform, Big Query, or other cloud computing platforms
• Spanish language skills