Posted 29 days ago
SC Planning Master Data Analyst
AI Summary
Creates, corrects and maintains supply chain master data for end-to-end supply planning, ensuring materials, BOMs, routings and lead times are accurate and available in planning systems.
About this role
Overview
The Master Data Analyst is responsible for creating, correcting and maintaining supply chain master data required to execute end-to-end supply planning activities. The role ensures that all materials, BOMs, routings, sourcing rules, lead times and planning parameters are correct, complete and available on time in the relevant planning systems to facilitate supply planning processes. Reporting to the Category Supply Planner, this role acts as the data integrity owner and collaborates cross-functionally to ensure timely receipt of inputs required to maintain master data, and resolve issues which risk service, inventory, cost or feasibility
Responsibilities
- Creates and maintains accurate, timely supply‑planning master data (incl. materials, BOMs, routings, sourcing, lead times, capacities) to enable feasible category supply plans
- Works in close partnership with peers (other Master Data, Category SPs, etc.) across OUs where necessary to ensure correct, complete master data for inter-company products/materials
- Performs routine master data audits to ensure accuracy, completeness, and alignment with planning rules, data templates, and global standards
- Troubleshoots data issues, investigates deviations, and collaborates with requesters to resolve inconsistencies or unclear change requests
- Provides planning teams with clear data inputs that enable scenario modelling, sourcing decisions, and capacity evaluations
- Collaborates with the Planning Digital Innovator to identify opportunities to automate, streamline, or enhance master data processes, ensuring increased accuracy and reduced cycle times
- Supports the development and implementation of data governance standards, standard operating procedures, templates, and controls across the planning ecosystem
- Trains and mentors planning and Market colleagues on master data best practices to build data literacy across the Forecast to Schedule competency
Qualifications
- Target years’ experience: 3-5 years Experience.
- Master Data Lifecycle Management
- Data Standards and Compliance
- Bulk Data Management and Upload
- Analytical Problem Solving
- BOM/Routing/Resource Understanding
- Proficiency level: 1 Foundational, 2 Proficient, 3 Expert
Skills
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