Data Audit Analyst

Advance-Auto-Parts; Raleigh (NC); Hybrid; USD 70,000 - 100,000; Full time

Benefits offered by this job

Health Insurance

Job summary

Advance Auto Parts is seeking a Data Audit Analyst to rigorously validate SKU and vendor data across downstream channels. You will perform high-volume audits of product attributes, digital assets, and non-application catalog data to ensure accuracy before syndication.

Based in Raleigh, NC, this hybrid role requires strong data quality skills, expertise with PIM and DAM systems, and a keen eye for patterns and defects that impact customer experience across retail, professional, and e-commerce

Qualifications

• 3+ years in data quality, data auditing, MDM, or merchandising operations; senior/lead role preferred.
• Strong understanding of how master data flows through PIM and DAM systems.
• Exceptional attention to detail with ability to identify data patterns and anomalies.

Responsibilities

• Data Syndication Validation: Audit SKU and category data for accurate downstream syndication.
• Digital Asset Auditing: Verify images, videos, and documents linked to SKUs meet quality standards.
• Non-Application Catalog Management: Maintain and audit non-application data to align with merchandising strategies.
• Defect Identification: Document root causes and collaborate with tech teams for fixes.
• Vendor Data Compliance: Ensure vendor data/assets meet internal requirements before production.
• Audit Reporting: Create data quality scorecards and reports to show data health.

Skills

Data auditing

MDM/PIM understanding

Attention to detail

Merchandising categorization

Education

Bachelor’s degree in Information Management, Data Science, Business, or a related field

Tools

PIM (Product Information Management)

DAM (Digital Asset Management)

Job description

Job DescriptionJob Summary: 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.Key Responsibilities: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: NoneExperience: 3+ years in Data Quality, Data Auditing, MDM, or Merchandising Operations; experience in a senior or lead technical role is preferred.Education: 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.Benefits 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/benefitsCompany 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 identity, status as a veteran and basis of disability or any other federal, state, or local protected class.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 identity, status as a veteran and basis of disability or any other federal, state or local protected class. We comply with all applicable federal, state, and local laws.California Residents click below for Privacy Notice:https://jobs.advanceautoparts.com/us/en/disclosures