Master Data Analyst – Finance
About The Position
Schneider Electric™ creates connected technologies that reshape industries, transforms cities and enriches lives. Our 160,000 employees thrive in more than 100 countries. From the simplest of switches to complex operational systems, our technology, software, and services improve the way our customers manage and automate their operations. Help us deliver solutions that ensure Life Is On everywhere, for everyone and at every moment. Great people make Schneider Electric a great company. Join an exciting team and help drive transformation on our digital journey. Be a part of designing and building our SAP platform to take Schneider into the future. The Data Analyst is part of our agile scrum teams and is responsible for understanding the data required to support business solutions. You will be focused on transforming, enriching, and migrating data from legacy source systems to SAP S4 HANA. As a Finance Business Analyst, you will be part of an elite team of people that is leading the digital transformation within Schneider Electric’s North America Finance Operations.
Requirements
- Master data management and governance experience
- Finance process knowledge in back office
- 3+ years of hands-on experience working with data, data tables and ETL processes
- 3+ years of hands-on experience working in an SAP environment
- 5+ years working in the Schneider Electric Finance organization
- Excellent at solving problems and working through complex analytics
- Candidate is proactive, collaborative, and persistent
- Organized, detail oriented and rigorous
- Advanced Excel skills
- Intermediate SQL proficiency
Responsibilities
- Working in an agile environment with business and technical team to identifying data migration requirements and dependencies.
- Responsible for understanding and executing data mapping and data migrations with business and functional analysts.
- Work with data conversion and data load teams to drive end-to-end migration activities.
- Assist in the development of data quality and readiness checks and identify solution changes which could impact checks.
- Trouble shoot data extraction, conversion, and load errors
- Validate accuracy of migrated data to expected outcomes
- Work on developing data lifecycle processes
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
