Data Audit Analyst

Job Summary:   The Data Audit   Analys t is a key technical contributor responsible for the rigorous execution of data quality standards across SKU and vendor   data   domains.   In this   role   y ou 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.

Data Syndication Validation:   Execute comprehensive audit protocols to ensure SKU and category data syndicates accurately to   all   downstream channels.   Digital Asset Auditing:   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.   Non-Application Catalog Management:   Maintain   and audit non-application catalog data, ensuring that product hierarchies and attributes align with merchandising strategies and organizational standards.   Defect Identification:   Proactively   identify   systemic data defects and inconsistencies during audit cycles; document root causes and collaborate with   appropriate technology   teams to   implement permanent fixes.   Vendor Data Compliance:   Audit incoming vendor-provided data and assets to ensure strict compliance with internal requirements   before they enter   the production ecosystem.   Audit Reporting:   Develop and   maintain   data quality scorecards and audit reports to provide visibility into the health of the enterprise   item   data domain.     Qualifications :   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.     Certifications, Experience, and Education:   Certifications:   None   Experience:   3+ years in Data Quality, Data Auditing, MDM, or Merchandising Operations ; experience   in a senior or lead technical role is preferred.

Bachelor’s degree in Information Management , Data Science, Business, or   a related   field; OR equivalent relevant work experience.       Location & Work Availability:    This position is   Hybrid ( 4   days in office,   1   day remote) ,   based at our corporate headquarters in   Raleigh, North Carolina .

Summary:   We believe in supporting our Team Members and those they love through comprehensive health & wellness benefits. Learn more here:   https://jobs.advanceautoparts.com/us/en/benefits     Company Overview:   Advance Auto Parts, Inc.   is   a leading automotive aftermarket parts provider that serves both professional   installer   and do-it-yourself customers. As of January 3, 2026, Advance   operated   4,305 stores primarily within the United States, with   additional   locations in Canada, Puerto   Rico   and the U.S. Virgin Islands. The Company also served 809 independently owned Carquest branded stores across these locations in addition to Mexico and various Caribbean islands.   Additional   information about Advance, including employment opportunities, customer services, and online shopping for parts, accessories and other offerings can be found at   www.AdvanceAutoParts.com .   We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age national origin, religion, sexual orientation, gender