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.

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.

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 opportunities for improvement and savings

- Conduct in-depth spend analysis, inventory level and optimization, and supplier performance assessments and other analysis supporting the overall Supply Chain function.

- Identify trends, variances, and improvement opportunities across the supply chain

- Translate complex data findings into clear, concise presentations for both Supply Chain and non-Supply Chain audiences.

- Data Extraction & Reporting

- Pull, clean, and validate data from SAP S/4 Hana and other relevant systems.

- Generate recurring and ad hoc reports to support procurement, inventory, and logistics operations.

- Support Digitalization initiatives

- Assist with the identification, assessment and selection of Supply Chain technology and tools from 3rd party market or internally

- Assist with the design, set-up configuration and deployment of selected Supply Chain technology

- Assess, design, maintain AI, ML and automation tools for existing or new technology

- Supply Chain Performance Improvement Support

- Support initiatives aimed at improving processes, inventory turnover, forecast accuracy, and cost optimization.

- Experience with KPI development and build and performance tracking in a supply chain context

- Recommend data-driven strategies for supply chain efficiency.

Qualifications:

- Bachelor’s degree in Data Analytics, Quantitative Methods, Statistics, Supply Chain Management or a related field.

- 3-5 years of experience in a data analyst role, preferably within a supply chain or manufacturing environment.

- Proficiency in SAP S/4 Hana, SAP Data Warehouse, Google Big Query, Data Square for data extraction, mapping, data calculations and reporting.

- Strong skills in Excel, SQL, Python, R and data visualization tools (Power BI a must) (e.g., Power BI, QlikSense, Tableau).

- Strong skills in automation software (e.g. UiPath, Winshuttle)

- Strong skills in AI software (e.g. SAP Joule, Microsoft CoPilot Studio, etc.)

- Solid understanding of supply chain principles, including sourcing, procurement, inventory management, and logistics.

- Solid Communications and stakeholder management skills: Work closely with Supply Chain, Digital and Finance teams to understand data fields, data needs, validate assumptions and calculations, and deliver actionable insights.

- Strong problem-solving, communication, and project management skills.

- Languages: English required, Spanish a plus

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.