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 :