The AES Corporation is seeking to improve its supply chain functions, including spend analysis, inventory optimization, supplier performance, sourcing opportunities, process improvement, and logistics efficiency, by hiring a Data Analyst to provide data-driven recommendations.
Requirements
- 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)
- 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
Responsibilities
- Build and maintain interactive dashboards and reports using tools such as Power BI
- Conduct in-depth spend analysis, inventory level and optimization, and supplier performance assessments
- 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
- Assist with the identification, assessment and selection of Supply Chain technology and tools
- Assess, design, maintain AI, ML and automation tools for existing or new technology
- Recommend data-driven strategies for supply chain efficiency
Other
- 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
- Solid Communications and stakeholder management skills: Work closely with Supply Chain, Digital and Finance teams
- Strong problem-solving, communication, and project management skills
- Languages: English required, Spanish a plus
