We are expanding our Data Transformation team with a Lead Data Analyst focused on Front Office (ART 1) customer data initiatives.
You will lead the transformation and migration of customer master data into SAP S/4 HANA, ensuring consistent outcomes across sales, distribution, and commercial processes. If you can drive readiness checks and data validation through to completion, apply now
Responsibilities
- Partner in an agile environment with business and technical teams to define migration requirements and uncover dependencies
- Implement data mapping and execute migrations in collaboration with business and functional analysts
- Collaborate with the business to drive customer data cleanup
- Coordinate with data conversion and data load teams to run end-to-end migration activities
- Assist with creating data quality and readiness checks and identify solution changes that may impact those checks
- Troubleshoot issues across data extraction, conversion, and load steps
- Validate migrated data accuracy against expected outcomes and acceptance criteria
- Assist with shaping lifecycle processes to support ongoing governance
- Support migration and governance of customer master data across sales and distribution processes
- Liaise with commercial and sales teams to define customer data requirements and resolve missing or inconsistent data
- Validate customer hierarchies, account structures, and sales area data for S/4 readiness
- Identify and remediate inconsistencies that affect order processing and customer lifecycle data
Requirements
- Strong knowledge of master data management and governance
- Proven track record with 5+ years of manufacturing process knowledge or work in a manufacturing environment applying data governance principles
- Hands-on experience with 4+ years working with data, data tables, and ETL processes
- Solid SAP experience with 4+ years working in the SAP environment at an intermediate level or above
- Practical experience within a supply chain organization
- Demonstrated strength in problem solving and complex analytics
- Advanced Microsoft Excel skills and intermediate SQL capability
- Ability to stay proactive, collaborative, and persistent in delivery
- Highly organized approach with attention to detail and rigor
- Advanced English level (C1+ / Advanced)