Job Title

What will you do?Support data analysis to identify insights and improvement opportunities Assist in process automation initiatives to increase efficiency (RPA, workflows) Perform data validation to ensure accuracy and consistency Support vendor and materials data management activities Contribute to administrative and operational processes within the Data Office Participate in key projects such as:Expansion of RPA coverage for vendor and material processes Integration of workflows using tools like ServiceNow and Microsoft Teams Automation of recurring tasks (e.g., data deduplication) Process automation initiatives from efficiency workshopsCollaborate with cross-functional teams to support data-driven solutions What skills and capabilities will make you successful?Strong learning agility and interest in data and emerging technologies Analytical mindset with attention to detail Understanding of data lifecycle and data lineage Effective written and verbal communication skills Ability to collaborate across teams and obtain results Proactive, self-starter attitude Ability to translate business needs into technical requirements Basic knowledge of tools such as Python, SQL, Tableau, Excel, SAP or similar What's in it for you?Hands‑on experience with real business data and automation initiatives Exposure to enterprise data management and digital tools Participation in continuous improvement and innovation projects Collaboration with cross‑functional teams Development of technical, analytical, and professional skills Who will you report to?You will report to the Data Management Manager / Data Office Lead within the GSC organization. You will work with cross‑functional teams including data, business, and digital stakeholders. This is an individual contributor role with strong collaboration. What qualifications will make you successful for this role?Qualifications for Your Success Currently pursuing a degree in Data Science, Engineering, Information Systems, Business Analytics, or related Basic understanding of data management concepts (data lifecycle, governance) Familiarity with data tools (Python, SQL, Excel, Tableau, SAP or similar) Strong analytical and problem‑solving skills Good communication and teamwork abilitiesLocationPunto Valle, Rio Missouri 555 St. Del Valle, 66220 Equal Opportunity EmployerSchneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status or any other legally protected characteristic or conduct.#J-18808-Ljbffr