Job Title: Catalog Data Analyst – Product Data (B2B) Location: Atlanta, GA (Hybrid – 3 days onsite per week) Position Overview: We are seeking a highly detail-oriented Catalog Data Analyst with a strong background in Product Data Management within B2B environments to support the digital and operational catalog systems. This role is essential for maintaining and optimizing high-quality product data across multiple systems to ensure seamless procurement, inventory, and sales processes. The ideal candidate will have hands-on experience with PIM systems, catalog management tools, and a strong understanding of product taxonomy and attribute modeling. Key Responsibilities: • Own and maintain accurate, complete, and up-to-date product catalog data across ERP, PIM, and eCommerce platforms. • Create, update, and manage product SKUs, descriptions, attributes, and classifications for B2B catalogs. • Collaborate with internal stakeholders (procurement, supply chain, product teams) and external vendors to onboard and validate product data. • Standardize data formats and naming conventions to support search, navigation, and reporting across systems. • Perform data quality checks, normalization, deduplication, and enrichment using catalog management tools. • Ensure data compliance with internal governance rules and external standards (e.g., GS1, UNSPSC). • Generate regular reports and dashboards for product catalog performance and quality KPIs. • Support digital transformation initiatives including catalog automation and migration projects. Required Skills & Qualifications: • 4–7 years of experience in Product Data or Catalog Data Analysis, specifically in B2B domains (retail, distribution, manufacturing preferred). • Hands-on experience with one or more PIM or catalog management tools (e.g., Salsify, Informatica PIM, Riversand, Stibo, inRiver). • Strong skills in Excel, SQL, and data visualization/reporting tools (Power BI, Tableau). • Experience working with ERP systems such as SAP, Oracle, or NetSuite. • Deep understanding of product hierarchies, SKU lifecycle management, UOM standards, and attribute modeling. • Ability to handle large volumes of product data with a high degree of accuracy. • Strong communication and collaboration skills to interface with technical and business stakeholders. • Knowledge of industry classification standards such as GS1, UNSPSC is a plus.