Product Data Coordinator

Product Data Coordinator Job Summary

The University of Utah Campus Store is seeking a Product Data Coordinator who provides administrative and operational support forthe Campus Store by maintaining accurate, complete, and consistentproduct information within Net Suite and other Campus Store systems.

The position focuses on product-data maintenance, cleanup,standardization, and quality control to support accurate product,inventory, and operational information.

The Product Data Coordinator reviews and corrects product records,researches data discrepancies, applies established data standards,and maintains required product attributes, classifications,statuses, and vendor information. The position also supports reporting, data extracts, and system-based data-quality activities and works with Campus Store teams to resolve product and inventory data issues.

At the University of Utah Campus Store, we make campus afamily.

Every member of our team contributes to the success of students,faculty, staff, alumni, and visitors. Whether providing course materials, technology solutions, Starbucks beverages, official

University merchandise, or exceptional customer service, our employees play an important role in supporting the University community.

We believe that hiring is about more than filling positions. Weseek individuals who are committed to service, collaboration,accountability, and creating an environment where others feel welcomed and supported.

If you are passionate about helping others succeed and want to contribute to a positive campus experience, we encourage you toapply.

Learn more about our mission and values herewww.store.utah.edu

• Create, update, and maintain item records in Net Suite and other
  
  Campus Store systems, ensuring required attributes, statuses,categories, and vendor relationships are accurate and complete.
• Correct and standardize product names, descriptions, categories,attributes, vendor information, costs, pricing fields, and otheritem data according to established standards.
• Assist with bulk product updates, imports, and large-scale product and inventory data-cleanup projects.
• Maintain organized records of completed cleanup projects,corrections, and outstanding data issues.
• Identify duplicate or potentially duplicate products and resolveor elevate records according to established procedures.
• Document unresolved data issues and elevate them to the appropriate team members when necessary.
• Use Net Suite saved searches, reports, spreadsheets, and othertools to identify, investigate, and resolve data-quality issues, including missing costs, incorrect classifications, incomplete attributes, negative inventory balances, duplicate records, andother data exceptions requiring cleanup or correction.
• Collaborate with buyers, inventory staff, accounting, eCommerce,and other Campus Store teams to resolve product and inventory data discrepancies.
• Assist in developing, documenting, and improving product-data standards, procedures, workflows, and checklists.
• Create and maintain Net Suite saved searches, reports, dashboards,and data extracts to support operational and business decision-making.
• Participate in special product-data, inventory, and system data-quality projects as assigned.

EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience(Example: bachelor's degree = 4 years of directly related work experience).

Requires little to no related experience.

• Familiarity with Net Suite or similar ERP or inventory management systems.
• Experience maintaining product, item, inventory, or catalog data.
• Experience with Microsoft Excel or Google Sheets, including sorting, filtering, comparing, and organizing data.
• Familiarity with reporting, data visualization, or business intelligence tools such as Power BI.
• Experience working with SKUs, UPCs, product categories, vendor information, costs, pricing, or inventory data.
• Experience working in a retail, bookstore, inventory, eCommerce,or higher education environment.
• Strong attention to detail and organizational skills.
• Ability to work accurately with large volumes of data and follow established procedures.
• Ability to research discrepancies, document issues, and communicate effectively with others.
• Ability to work independently while contributing effectively aspart of a team.

Full Time or Part Time? Part Time

Work Schedule

Summary:

M-F, 15-20 hours a week, some early morning, late nights or weekends…