Master Data Test Automation Analyst; RPA

Schneider Electric creates connected technologies that reshape industries, transform cities and enrich lives. Our team of 160,000 employees works across more than 100 countries, from simple switches to complex operational systems. Our technology, software, and services help customers manage and automate their operations, ensuring Life Is On everywhere, for everyone, and at every moment.

• Work in an agile environment with business and technical teams to identify data migration requirements and dependencies.
• Understand and execute data mapping and data migrations in collaboration with business and functional analysts.
• Clean up data in partnership with the business.
• Coordinate with data conversion and data load teams to drive end‑to‑end migration activities.
• Help develop data quality and readiness checks and identify solution changes that could impact checks.
• Investigate data extraction, conversion, and load errors.
• Validate the accuracy of migrated data against expected outcomes.
• Assist in the development of lifecycle processes.

• Experience in master data management and governance.
• 5+ years of experience in manufacturing process knowledge or working in a manufacturing environment where data governance principles are applied.
• 3+ years of hands‑on experience working with data, data tables and ETL processes.
• 3+ years of hands‑on experience working in the SAP environment.
• Strong problem‑solving skills and ability to work through complex analytics.
• Proactive, collaborative, and persistent approach.
• Organized, detail‑oriented and rigorous.
• Advanced Excel skills.
• Intermediate SQL proficiency.

Schneider Electric is an Equal Opportunity Employer. We provide equal employment and advancement opportunities in 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.