Senior Analyst, Supply Chain Data 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.

We are seeking a highly analytical and detail-oriented Data Analyst to join our Supply Chain team. This role will be instrumental in pulling and analyzing data from SAP and other systems, creating insightful dashboards using PowerBi, and providing data-driven recommendations across a range of supply chain functions including spend analysis, inventory optimization, supplier performance, sourcing opportunities, process improvement and logistics efficiency. This role will also assist in designing, building and maintaining Gen AI agents supporting Supply Chain processes, in collaboration with the Digital department. Additionally, responsibilities include assisting with the design, configuration, testing and maintenance of SAP Materials Management module or other systems used in Supply Chain.

The ideal candidate has hands-on experience with large datasets, strong data visualization skills, and a solid understanding of end-to-end supply chain processes. Experience with Gen AI agents, Microsoft Co-Pilot and knowledge of SAP a definite plus.

Main Responsibilities :

• Data Dashboard Development & Maintenance
• Build and maintain interactive dashboards and reports using tools such as Power BI.
• Coordinate with Digital for data mapping and extraction, data integration automation and reporting processes where possible.
• Data Analysis, Interpretation & Insights
• Develop data insights collaboratively with relevant Supply Chain areas to identify trends, variances, and improvement opportunities across the supply chain
• Conduct in-depth spend analysis, inventory level and optimization, and supplier performance assessments and other analysis supporting the overall Supply Chain function.
• Translate complex data findings into clear, concise presentations for both Supply Chain and non-Supply Chain audiences.
• Support Digitalization & AI / ML initiatives
• Assess, design, maintain AI / ML automation tools and agents for existing or new technology.
• Assist with the identification, assessment and selection of Supply Chain

technology and tools from 3rd party market or internally.

and configurations.

logistics operations.

accuracy, and cost optimization.

supply chain context.

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.

The expected salary for this position, at commencement of employment, is between $85.000 and $102.000 / Annual; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements such as annual bonus, in addition to a full range of medical, dental, vision, life, financial, and / or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department / team performance, and market factors.