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About the Role
The Commerce Data Associate is an entry-level role for a recent graduate with a smart, analytical mindset. You will test and learn through catalog data, analyze performance improvements for search, navigation, and SEO, and apply learnings at scale. Your work will directly shape new online features by structuring the data that powers them. We provide training; you bring curiosity, analytical skills, and drive.
Responsibilities
- 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 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 customer interaction with the catalog and identify areas for data improvement.
- Support new product onboarding and bulk data loads.
- Prepare and validate data for new online features and functionality prior to launch, partnering with the development team.
- Document processes and learnings; contribute to improving data workflows.
Requirements
- 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: enjoy digging into data, spotting patterns, and forming hypotheses.
- A test-and-learn mindset — comfortable trying things, measuring outcomes, and iterating.
- Proficient in Excel, with a willingness to master new tools.
- Strong attention to detail and consistency; comfortable with high-accuracy work.
Skills
- Data analysis
- Excel
- Experiment design
- Data structuring
- Data enrichment
- Data cleaning
- Data auditing
- Process documentation
Experience Level
- Entry-level
- Some work experience welcome but not required
Education Level
- Bachelor's degree in a relevant field (e.g., business, marketing, data analytics, information systems, economics, or similar)
Benefits
- Health insurance
- Paid time off
- Vision insurance
- 401(k)
- 401(k) matching
- Dental insurance