Product Data Specialist Jobs
Product Data Specialist jobs are open across e-commerce, retail, healthcare, and manufacturing, with specializations in product catalog management, data quality, and taxonomy development, from entry-level analyst to senior and lead roles. Find a role that fits below and apply directly.
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Product Data Entry Clerk (WMS & Shopify)
We are looking for a detail-oriented and organized Product Data Entry Clerk to join our team. The primary responsibility of this position is to enter new product information into our company's Warehouse Management System (WMS) and upload product listings to Shopify.
The ideal candidate should be comfortable working with Excel, handling product information, and performing basic image editing tasks. Previous experience with WMS or Shopify is a plus, but training will be provided.
Responsibilities
- Enter new product information provided by vendors into the company's WMS accurately and efficiently.
- Create and update product listings in Shopify, including descriptions, pricing, and images.
- Review and verify product information, including SKU, UPC, descriptions, and pricing.
- Use Microsoft Excel to organize, review, and manage product data.
- Perform basic product image editing, such as cropping, resizing, and uploading images.
- Maintain accurate and up-to-date product information across systems.
- Identify and correct data entry errors or inconsistencies.
- Communicate with internal departments to clarify missing or incorrect product information.
- Perform other related administrative tasks as needed.
Qualifications
- Proficiency in Microsoft Excel and basic computer applications.
- Strong attention to detail and accuracy.
- Basic image editing skills, including cropping and resizing photos.
- Good organizational and time management skills.
- Ability to work independently and manage multiple tasks.
- Good written and verbal communication skills.
- Previous data entry experience is preferred but not required.
- Experience with Shopify or WMS software is a plus, but not required.
Ideal Candidate
We are looking for someone who is detail-oriented, reliable, organized, and comfortable working with computers. The ideal candidate can learn new software quickly, follow instructions, and accurately manage product information in a fast-paced environment.
Training will be provided for our internal systems and procedures.
Job Types: Full-time, Part-time
Pay: $16.00 - $20.00 per hour
Benefits:
- Flexible schedule
- Paid time off
Work Location: In person
Product Data Specialist Jobs by Experience Level
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Find Product Data Specialist JobsProduct Data Specialist Job Market
Who's Hiring
Top Industries Hiring
- Investment & Asset Management
What Employers Look For
The qualifications that appear most often in product data specialist jobs.
- Experience with product information management systems such as Akeneo, Salsify, or similar platforms
- Proficiency in Excel or Google Sheets for data cleaning, transformation, and validation
- Familiarity with product taxonomy development, attribute mapping, and category hierarchy design
- Strong data quality skills including identifying duplicates, gaps, and inconsistencies across large datasets
- Experience working with cross-functional teams including merchandising, marketing, and engineering
- Bachelor's degree in information management, business, marketing, computer science, or a related field
Tips for Your Product Data Specialist Job Search
Tailor your resume to catalog work
Highlight hands-on experience with product information management systems, data enrichment workflows, and attribute standardization. Recruiters scan for PIM platforms, taxonomy builds, and data governance contributions, so name the systems and processes you owned, not just the teams you supported.
Apply early to roles that fit
Migrate Mate lists product data specialist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Demonstrate data quality ownership clearly
Many candidates list data tasks without showing accountability. Describe specific data accuracy problems you diagnosed, the validation rules you wrote or enforced, and the measurable reduction in error rates that followed. Hiring managers distinguish doers from documenters fast.
Target postings by PIM tool named
Job listings for this role almost always name a specific platform, such as Akeneo, Salsify, or Informatica. Search by the tool your experience matches. You'll face less competition than candidates targeting broad data roles and pass resume screeners more reliably.
Prepare a portfolio of taxonomy work
Bring a sample attribute schema, a category hierarchy you built, or a before-and-after data cleanup example to your interview. Product data roles reward concrete artifacts over general claims, and showing your decision logic for structuring attributes sets you apart immediately.
Negotiate scope not just compensation
When you receive an offer, ask which product categories or data domains you'd own in the first six months. Clarifying scope early signals strategic thinking, helps you evaluate fit, and gives you a foundation for a compensation conversation grounded in real deliverables.
Product Data Specialist Jobs: Frequently Asked Questions
Which companies are hiring the most product data specialists?
The companies hiring the most product data specialists right now include JCPenney, IONE, and Amentum, with the largest share of openings in Texas, Ohio, and Utah, based on current listings on Migrate Mate as of November 2026. E-commerce, retail, and healthcare organizations consistently drive the highest volume of openings for this role.
How many product data specialist jobs are remote?
About 40% of product data specialist openings are fully remote or hybrid as of November 2026, reflecting strong employer comfort with distributed data work. Roles focused on catalog enrichment, taxonomy governance, and data quality audits tend to be the most remote-friendly, while positions requiring close coordination with warehouse or logistics systems often prefer on-site or hybrid arrangements.
How do you become a product data specialist?
Start by building hands-on experience with structured data, whether through spreadsheet-based data cleaning projects, coursework in database management, or entry-level roles in data entry or catalog operations. Learn at least one PIM platform through free trials or certifications. Then target junior product data or catalog analyst postings, which often serve as the standard entry point into specialist roles.
Can you get hired as a product data specialist with little experience?
Yes, employers routinely hire candidates with limited direct experience when they demonstrate strong data hygiene habits and familiarity with structured product data. Completing a PIM platform tutorial, building a sample product catalog with real attribute logic, and showing proficiency with Excel or similar tools will differentiate you from other entry-level applicants more effectively than a degree alone.
What does the product data specialist interview process look like?
Most interview processes include a recruiter screen focused on your data tools and domain background, followed by a hiring manager interview covering how you've structured product attributes or resolved data quality issues. Expect at least one practical exercise, such as cleaning a messy product dataset or mapping a category taxonomy, before a final conversation with a cross-functional stakeholder like a merchandising or engineering lead.
Where can I find and apply to product data specialist jobs?
You can find and apply to product data specialist jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your experience and apply directly to each listing from the page.
See All 32 Product Data Specialist Jobs
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