Supply Chain Master Data Analyst

Job Description

Position Summary

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The Master Data Specialist owns the accuracy, completeness, and governance of supply chain master data across the organization's ERP and business systems. This is a hands-on role in an organization that is actively building its data foundation: the analyst will not only maintain records but help define the standards, processes, and controls that do not fully exist today.

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The role covers four core data domains — materials/items, vendors/suppliers, customers, and BOMs/routings — and requires someone comfortable working across multiple systems, executing high-volume data updates, and bringing structure where processes are still informal.

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Key Responsibilities

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Master Data Maintenance & System Updates

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• Create, update, extend, and deactivate master data records (items/materials, vendors, customers, BOMs, routings) across all ERP and connected systems.

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• Execute mass data updates and migrations using system tools, upload templates, and data-loading utilities; validate results before and after changes.

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• Ensure cross-system consistency: when a record changes in one system, verify and synchronize dependent systems and downstream processes.

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• Process master data change requests within defined SLAs, verifying completeness and required approvals before entry.

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Data Quality & Cleansing

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• Run recurring data quality audits (duplicates, missing fields, inconsistent units of measure, invalid statuses, orphaned BOM components) and remediate findings.

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• Establish and maintain data quality KPIs and dashboards; report accuracy and completeness metrics to your manager on a defined cadence.

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• Lead data cleansing initiatives, including preparation for system implementations, upgrades, or acquisitions.

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Governance & Process Development

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• Help define and document master data standards: naming conventions, field definitions, mandatory attributes, and approval workflows for each data domain.

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• Draft and maintain SOPs and work instructions for master data creation and change processes.

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• Act as gatekeeper: challenge incomplete or non-standard data requests and route them through the correct approval path.

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• Support the rollout of data governance practices to other departments (procurement, sales, finance, operations) that consume or submit master data.

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Cross-Functional Support & Analysis

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• Serve as the primary point of contact for master data questions from procurement, planning, warehouse, sales, and finance teams.

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• Support ERP projects, integrations, and system testing where master data is involved (UAT, data validation, cutover support).

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• Produce ad hoc analyses and extracts (e.g., item usage, vendor rationalization, BOM cost roll-up inputs) as requested.

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Qualifications

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Required

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• 2–5 years of hands-on experience in master data maintenance within a supply chain, manufacturing, or distribution environment.

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• Demonstrated experience performing master data creation and mass updates directly in at least one major ERP (e.g., SAP, Oracle/NetSuite, Microsoft Dynamics 365); ability to learn additional systems quickly, as this role works across multiple platforms.

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• Working knowledge of at least two of the four data domains: material/item master, vendor master, customer master, BOMs/routings.

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• IA skills and Excel skills (lookups, pivot tables, data cleaning at scale); experience with data upload/import templates and validation.

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• High attention to detail with a documented track record of accuracy in high-volume data work.

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• Ability to write clear process documentation and communicate data standards to non-technical colleagues.

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Preferred

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• Experience in an organization building master data governance from an early stage (defining standards rather than inheriting them).

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• Exposure to data quality or MDM tools, SQL, or Power BI/reporting tools.

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• Experience supporting an ERP implementation, migration, or consolidation.

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• Understanding of how master data drives downstream processes: MRP, procurement, costing, and order management.

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• APICS/ASCM (CPIM) or similar supply chain certification.

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Competencies

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• Accuracy and rigor — treats data errors as defects, not inconveniences.

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• Process orientation — builds repeatable methods rather than one-off fixes.

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• Ownership — follows issues to root cause across systems and departments.

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• Communication — can explain data requirements to requesters and push back constructively on bad inputs.

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• Adaptability — comfortable in a maturing organization where standards are still being defined.

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Success Measures (First 12 Months)

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• Documented data standards and SOPs in place for all four data domains.

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• Baseline data quality audit completed for each domain, with a remediation plan and measurable improvement.

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• Master data change-request process defined, communicated, and adopted, with SLA tracking.

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• Cross-system data consistency checks established and running on a regular cadence.

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Growth Path

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This role is scoped at the analyst/specialist level with a defined path toward Senior Analyst or Master Data Manager as the organization's data governance function matures.

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Hollingsworth & Vose is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.