Perform master data analysis, cleansing, and preparation activities (profiling, validation checks, and standardization) across defined data domains
Document business requirements and business user stories for in-scope data objects across releases (primary focus: customer, vendor, logistics, and trade compliance)
Support data mapping, conversion load preparation, reconciliations, and defect resolution during BST/UAT and cutover cycles
Execute Business Simulation Testing (BST) and capture test evidence as required
Monitor data quality metrics and triggers; investigate issues, perform root-cause analysis, and coordinate remediation with data owners
Document domain-specific data work instructions and SOPs
Support integration and reporting readiness by validating reference/master data dependencies across systems and interfaces
Participate in planning and execution activities to ensure data tasks are planned, tracked, and delivered on schedule
Requirements
Bachelor’s degree or equivalent required in Business, Information Systems, Engineering, Life Sciences, or related discipline
3+ years of hands-on experience working with SAP data and structured data sets (e.g., customers, suppliers)
Experience with logistics, source and/or global trade processes
Experience supporting data migration activities (profiling, cleansing, mapping, load/reconciliation)
Strong analytical skills, attention to detail, and ability to follow controlled processes and documentation standards
Ability to work effectively in cross-functional teams and manage multiple priorities in a transformation environment
Proficiency with Excel and data analysis techniques (filters, pivots, reconciliation methods)