Catalog Data Specialist
Toronto, ON, Canada
Full Time
Experienced
JOB PURPOSE
Accurate, comprehensive data is essential to maintaining our competitive position in the marketplace. The Automotive Catalog Data Analyst is responsible for integrating information from multiple sources, including OE data, customer feedback, and engineering analysis, into the catalog. This role then leverages technologically advanced tools to deliver high-quality, reliable catalog content.
KEY DUTIES AND RESPONSIBILITIES
Accurate, comprehensive data is essential to maintaining our competitive position in the marketplace. The Automotive Catalog Data Analyst is responsible for integrating information from multiple sources, including OE data, customer feedback, and engineering analysis, into the catalog. This role then leverages technologically advanced tools to deliver high-quality, reliable catalog content.
KEY DUTIES AND RESPONSIBILITIES
- Support new product introductions by collecting, standardizing, and validating product and fitment data across internal systems and customer channels.
- Maintain and manage catalog data using ACES & PIES standards, ensuring accuracy and compatibility with industry databases (VCdb, PAdb, PCdb, Qdb).
- Monitor catalog integrity, identify data gaps or conflicts, and assist in resolving coverage issues.
- Collaborate with product managers and sales teams to assess competitive coverage and suggest opportunities for new applications.
- Assist in the distribution and QA of digital assets such as product images and marketing content for PIM and customer deliverables.
- Conduct routine data audits to ensure quality, accuracy, and consistency across all platforms.
- 2+ years of experience working with automotive product catalogs, application data, or ACES & PIES mapping.
- Proficiency with PIM systems (e.g., PartCat) and a working knowledge of fitment data, attributes, and product hierarchies.
- Familiarity with vehicle databases (VCdb, PAdb, etc.) and digital asset management tools.
- Experience editing XML files using Large Language Model (AI) assistance.
- Strong understanding of automotive parts and application nuances.
- Excellent organizational skills with high attention to detail—especially under deadlines.
- Clear communication skills for cross-functional collaboration and customer support.
- Hybrid office setting
- In office 4 days a week
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