Full Time

Product Data Specialist

Sunny Days Entertainment
Full-time
Manufacturing
Gray Court, SC
???* / year

Job Description

This position is responsible for ensuring the accuracy, consistency, and integrity of product information across multiple platforms and systems. The specialist collaborates closely with cross-functional teams including logistics, inventory management, and IT to support data-driven decision-making and operational efficiency. By maintaining high-quality data, the role directly contributes to improved supply chain visibility, enhanced customer satisfaction, and streamlined warehouse operations. Ultimately, the Product Data Specialist ensures that all product data supports the organization's strategic goals and compliance requirements.


Key Responsibilities:







  • Maintain and update product data in internal databases and enterprise resource planning (ERP) systems to ensure accuracy and completeness.

  • Collaborate with procurement, logistics, and warehouse teams to gather and verify product specifications, descriptions, and classifications.

  • Conduct regular audits of product data to identify discrepancies, resolve errors, and implement corrective actions.

  • Support data integration efforts between various software platforms to facilitate seamless information flow across departments.

  • Generate reports and analytics related to product data quality and trends to inform management decisions.

  • Assist in developing and enforcing data governance policies and best practices within the organization.


Requirements:


 



  • Proven experience working with product data management or data entry in a transportation, warehousing, or logistics environment.

  • Proficiency with database management systems and Microsoft Excel.

  • Strong attention to detail and organizational skills.

  • Excellent communication skills to effectively collaborate with cross-functional teams.


Preferred Qualifications:







  • Experience with ERP systems such as SAP, Oracle, or Microsoft Dynamics.

  • Familiarity with data governance frameworks and quality assurance methodologies.

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