Data Audit Analyst

Advance Auto Parts•Raleigh, NC

18h•Hybrid

About The Position

The Data Audit Analyst is a key technical contributor responsible for the rigorous execution of data quality standards across SKU and vendor data domains. In this role you will perform high-volume audits of product attributes, digital assets, and non-application catalog data to ensure accuracy and consistency. This role is critical in ensuring that all item data is validated before downstream syndication, directly impacting the customer experience across retail, professional, and e-commerce channels.

Requirements

Demonstrated experience in high-volume data auditing, preferably within a complex retail or e-commerce environment.
Strong technical understanding of how master data flows through PIM (Product Information Management) and DAM (Digital Asset Management) systems.
Exceptional attention to detail with the ability to identify subtle data patterns and anomalies.
Proficiency in managing and auditing complex product hierarchies and merchandising categorizations.
3+ years in Data Quality, Data Auditing, MDM, or Merchandising Operations

Nice To Haves

experience in a senior or lead technical role is preferred.

Responsibilities

Execute comprehensive audit protocols to ensure SKU and category data syndicates accurately to all downstream channels.
Conduct detailed inspections of digital assets, verifying that images, videos, and technical documents are correctly linked to the appropriate SKUs and meet enterprise quality standards.
Maintain and audit non-application catalog data, ensuring that product hierarchies and attributes align with merchandising strategies and organizational standards.
Proactively identify systemic data defects and inconsistencies during audit cycles; document root causes and collaborate with appropriate technology teams to implement permanent fixes.
Audit incoming vendor-provided data and assets to ensure strict compliance with internal requirements before they enter the production ecosystem.
Develop and maintain data quality scorecards and audit reports to provide visibility into the health of the enterprise item data domain.