E Commerce Data Associate
Role Overview
Entry-level role in the E-Commerce / Digital department for an analytical recent graduate; prior work experience is welcome but not required.
The associate will improve catalog data and test how product and category data affects search, navigation, and SEO.
The data structured in this role supports the development of new online features; the employer will provide training on tools and domain knowledge.
Key Skills for This Role
Full Job Posting
Role overview
Entry-level role in the E-Commerce / Digital department for an analytical recent graduate; prior work experience is welcome but not required.
The associate will improve catalog data and test how product and category data affects search, navigation, and SEO.
The data structured in this role supports the development of new online features; the employer will provide training on tools and domain knowledge.
Responsibilities
- Structure, enrich, and clean e-commerce data across the catalog.
- Help design and run experiments on categorization, attributes, naming, and other data structures, then analyze results.
- Maintain product records by updating attributes, specifications, descriptions, categorization, and cross-references.
- Audit data for gaps, inconsistencies, and errors; identify patterns and flag systemic issues.
- Use analytics and search data to understand customer interactions with the catalog and prioritize improvements.
- Support new product onboarding and bulk data loads.
- Prepare and validate data for new online features before launch in partnership with the development team.
- Document processes and learnings and help improve data workflows.
Qualifications
- Recent college graduate with a bachelor's degree in a relevant field such as business, marketing, data analytics, information systems, economics, or a similar area.
- Analytical ability, including interest in examining data, spotting patterns, and forming hypotheses.
- Comfort with testing, measuring outcomes, and iterating rather than expecting a fixed playbook.
- Proficiency in Excel and willingness to master new tools.
- Strong attention to detail and consistency; comfortable with high-accuracy work.
- Existing comfort with data analysis is a bonus, not required; work experience is welcome but not required.
Benefits
- Benefits listed include health, dental, and vision insurance; paid time off; 401(k); and 401(k) matching.
Compensation
- The listed salary range is USD 60,000–75,000 per year.
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