Product Data Specialist
About The Position
We are seeking a detail-oriented and data-driven Product Data Specialist to support our National Brand portfolio. This role is responsible for managing, optimizing, and maintaining high-quality product data within our Product Information Management (PIM) system to drive eCommerce performance and profitable growth. The ideal candidate has experience working in structured data environments, is highly analytical, and thrives in cross-functional collaboration. You will play a key role in ensuring product data accuracy, improving data processes, and enhancing product content across digital channels.
Requirements
- Experience with STEP (Stibo Systems) or similar platforms (e.g., inriver, Akeneo, Pimberly)
- Strong understanding of product data structures, taxonomy, and data governance
- Advanced Excel skills (Power Query, pivot tables, lookups)
- Proven ability to manage and analyze large datasets
- Strong problem-solving skills with attention to detail
- Experience supporting eCommerce, marketplaces, or digital catalogs
- Excellent communication and collaboration skills
Nice To Haves
- Working knowledge of SQL for data querying and validation
- Experience with Python or other scripting languages for automation and data transformation
- Familiarity with product content optimization and digital merchandising strategies
Responsibilities
- Manage product data lifecycle within the PIM system (STEP – Stibo Systems)
- Partner with category managers and suppliers to onboard and maintain product data
- Identify, troubleshoot, and resolve data quality issues at scale
- Ensure product information is accurate, complete, and optimized for eCommerce channels
- Generate recurring and ad hoc reports on product performance, data quality, and business impact
- Analyze trends including sales, profitability, conversion rates, and promotional performance
- Optimize product placement, taxonomy, and site search functionality
- Conduct competitive analysis to identify assortment opportunities and pricing gaps
- Support assortment expansion strategies for B2C channels
- Collaborate with Product, eCommerce, Supply Chain, and IT teams to improve data workflows and automation
- Leverage tools such as Excel, SQL, and scripting languages to transform and validate data
- Monitor marketplace trends, consumer behavior, and industry developments
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
101-250 employees
