E Commerce Data Associate

• Health insurance
• Paid time off
• Vision insurance
• 401(k)
• 401(k) matching
• Dental insurance

Department: E-Commerce / Digital

The Commerce Data Associate is an entry-level role built for a smart, analytical recent graduate — some work experience is welcome but not required. You’ll help us test and learn our way through our catalog: experimenting with how product and category data is structured, analyzing what improves search, navigation, and SEO performance, and applying those learnings r work will directly shape the development of new online features — the data you structure is what powers them.

We’ll train you on the tools and the domain; you bring curiosity, analytical horsepower, and the drive to take our vision and chart a path to achieve it.

• Structure, enrich, and clean up e-commerce data across the catalog
• Drive a test-and-learn approach: help design and run experiments on data structure (categorization, attributes, naming) and analyze the results
• Work with the product data team to maintain product records — supporting updates to attributes, specifications, descriptions, categorization, and cross-references
• Audit existing data for gaps, inconsistencies, and errors; identify patterns and flag systemic issues
• Use analytics and search data to understand how customers interact with the catalog and where data improvements will matter most
• Support new product onboarding and bulk data loads
• Prepare and validate the data behind new online features and functionality ahead of launch, partnering with the development team as features take shape
• Document processes and learnings; contribute to improving data workflows

• Recent college graduate with a bachelor’s degree in a relevant field (e.g., business, marketing, data analytics, information systems, economics, or similar)
• Smart and analytical: you enjoy digging into data, spotting patterns, and forming hypotheses about what will work
• A test-and-learn mindset — comfortable trying things, measuring outcomes, and iterating rather than expecting a fixed playbook
• Proficient in Excel, with a willingness to master new tools; existing comfort with data analysis is a bonus
• Strong attention to detail and consistency; comfortable with high-accuracy work