Ecommerce Data Specialist I: Master Product Data

Patterson Companies; Saint Paul (MN); On-site; USD 45,000 - 65,000; Full time

Benefits offered by this job

Medical, Dental, Vision benefits

401(k) Match

Paid Time Off

Holiday Pay & Floating Holidays

Volunteer Time Off

Educational Assistance

Parental and Adoption Leave

LifeWorks EAP

Job summary

Patterson Companies is seeking a Product Data Specialist I to manage and improve product data across thousands of items, ensuring accuracy, consistency, and adherence to SLAs. The role requires collaboration with branches, corporate teams, and vendors while maintaining a customer-first focus.

You will leverage Excel and data tools to analyze, verify, and import data changes, support data governance, and contribute to process improvements in a fast-paced environment.

Qualifications

• College level degree and/or technical school training.
• 1–3 years of proven database experience.
• Experience with Excel, Access, or other data applications handling large datasets.
• Strong interpersonal, communication, and written skills.

Responsibilities

• Process product requests and data management following SLAs.
• Develop and refine content for complex product lines.
• Research, analyze, and update product specification data for thousands of products.
• Contribute to workflows and procedures to meet best practices.
• Analyze content for inconsistencies, correct data, and execute import changes.
• Support branch teams and partner with vendors as needed.

Skills

Excel

Access

Data analysis

SAP

PIM (Product 360)

Education

College degree or technical school training

Tools

Product 360

Job description

Patterson Companies is seeking a Product Data Specialist I to manage and improve product data across thousands of items, ensuring accuracy, consistency, and adherence to SLAs. The role requires collaboration with branches, corporate teams, and vendors while maintaining a customer-first focus.

You will leverage Excel and data tools to analyze, verify, and import data changes, support data governance, and contribute to process improvements in a fast-paced environment.