E Commerce Data Associate

Newbury Franklin Industrials; Buffalo (NY); On-site; USD 42,000 - 54,000; Full time

Benefits offered by this job

Health insurance

Paid time off

Vision insurance

401(k)

401(k) matching

Dental insurance

Job summary

Newbury Franklin Industrials is seeking an entry-level E-commerce Data Associate to help structure, enrich, and clean catalog data. You’ll test data structures, analyze search and SEO performance, and support onboarding of new products with the product data team.

You’ll learn the tools and domain while applying curiosity and analytical horsepower to shape online features. A bachelor’s degree and strong Excel skills are expected.

Qualifications

• Bachelor’s degree in a relevant field required.
• Analytical mindset with ability to spot patterns and form hypotheses.
• Test-and-learn mindset; comfortable trying new approaches and measuring outcomes.
• Proficient Excel skills; willingness to learn new tools.

Responsibilities

• Structure, enrich, and clean up e-commerce data across the catalog.
• Drive a test-and-learn approach: design and run experiments on data structure and analyze results.
• Maintain product records with the product data team; update attributes, specifications, descriptions, categorization, and cross-references.
• Audit data for gaps, inconsistencies, and errors; identify patterns and flag issues.
• Use analytics and search data to understand how customers interact with the catalog and where data improvements matter.
• Support new product onboarding and bulk data loads.
• Prepare and validate data behind new online features ahead of launch, partnering with the development team.
• Document processes and learnings; contribute to improving data workflows.

Skills

Data analytics

Hypothesis testing

Attention to detail

Curiosity

Education

Bachelor’s degree in a relevant field

Tools

Excel

Job description

E-Commerce Data Associate

Department: E-Commerce / Digital

Benefits

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

About the Role

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 at scale. Your 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.

Key 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 (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

What We’re Looking For

• 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