Requirements
The Master Data Analyst role requires 2-3 years of experience with a proficiency level of 'Proficient' (Level 2) in Master Data Lifecycle Management, Data Standards and Compliance, Bulk Data Management and Upload, Analytical Problem Solving, and BOM/Routing/Resource Understanding. The candidate will be responsible for creating, correcting, and maintaining supply chain master data in planning systems.
Description
OverviewThe 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.ResponsibilitiesCreates and maintains accurate, timely supply‑planning master data (incl. materials, BOMs, routings, sourcing, lead times, capacities) to enable feasible category supply plansWorks 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/materialsPerforms routine master data audits to ensure accuracy, completeness, and alignment with planning rules, data templates, and global standardsTroubleshoots data issues, investigates deviations, and collaborates with requesters to resolve inconsistencies or unclear change requestsProvides planning teams with clear data inputs that enable scenario modelling, sourcing decisions, and capacity evaluationsCollaborates with the Planning Digital Innovator to identify opportunities to automate, streamline, or enhance master data processes, ensuring increased accuracy and reduced cycle timesSupports the development and implementation of data governance standards, standard operating procedures, templates, and controls across the planning ecosystemTrains and mentors planning and Market colleagues on master data best practices to build data literacy across the Forecast to Schedule competencyTrack and periodically report performance management on data requests that will enable continuous improvement in data qualityParameter Optimization:Monitor and maintain optimal planning parameters in planning systems, and identify when parameters need reviewReporting activities:Dashboard adaption and dashboard refresh in the required frequency (Demand Planning Dashboard, Atlas, Weekly Service Report, etc.)Design and creation of new reports based on L1 and L2 requirementsExtraction of relevant data to conduct ad hoc analysisQualificationsTarget years experience: 2 to 3 yearsMaster Data Lifecycle Management 2Data Standards and Compliance 2Bulk Data Management and Upload 2Analytical Problem Solving 2BOM/Routing/Resource Understanding 2Proficiency level: 1 Foundational, 2 Proficient, 3 Expert