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Master Data Analyst

Job

Robert Half

Remote

Full-Time

Posted 3 days ago (Updated 9 hours ago) • Actively hiring

Expires 6/8/2026

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Job Description

We are looking for a Master Data Analyst to support technical data quality and material information management for R D, quality, and operational teams in Cincinnati, Ohio or Rockford, Illinois. This Long-term Contract position focuses on maintaining reliable raw material and packaging data that helps drive product development, supplier readiness, and manufacturing execution. The role calls for a highly organized, detail-oriented individual who can work across multiple functions, improve data consistency, and ensure critical system records remain accurate and complete. This is a HYBRID role - remote consultants will not be considered. Consumer Product Goods industry experience is highly desired!
Responsibilities:
  • Manage the collection, review, and entry of raw material and packaging specifications into approved specification and data management systems.
  • Verify that technical records are complete, accurate, and aligned with internal standards, regulatory expectations, and operational needs.
  • Improve consistency across systems by applying standardized naming structures, formatting rules, and data governance practices.
  • Investigate missing, outdated, or conflicting material information and resolve issues in partnership with cross-functional stakeholders.
  • Maintain material master data and support correct relationships between specifications, item records, and related system information in SAP-based environments.
  • Create, revise, and validate bills of materials to match approved specifications and current production requirements.
  • Support data activities tied to new product development, supplier updates, and ongoing process improvement initiatives.
  • Coordinate with Master Data, Procurement, Packaging, Quality, and Operations teams to ensure information supports real manufacturing and planning requirements.
  • Track assigned project deliverables, maintain supporting documentation, and contribute to process standardization efforts across technical data workflows.

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