Job Summary: The Merchandising Data Quality & Process Governance Analyst executes the tactical roadmap for data integrity and process excellence. This role focuses on the end-to-end SKU and vendor lifecycle, ensuring that merchandising workflows are followed and that the data powering product and supplier relationships is business-ready to drive operational efficiency. 

Key Responsibilities: 

• Data Quality Management: Perform daily audits and root-cause analysis for data defects in SKU and vendor master data; lead remediation efforts to ensure data health. 

• Vendor Content Scorecarding: Own the development and distribution of vendor data health scorecards; monitor supplier compliance with data standards and provide support for seamless integration. 

• Process Governance: Execute and monitor end-to-end workflows for SKU onboarding and vendor setup; identify friction points in the product lifecycle and suggest process improvements. 

• Standard Operating Procedures (SOPs): Maintain documentation for merchandising data processes, ensuring all SKU maintenance and vendor setup activities align with established governance policies. 

• Merchandising Partnership: Act as a technical liaison for Merchandising teams to ensure data strategies and process workflows align with product lifecycle management. 

• KPI Reporting: Track and report on process health and data quality metrics (KPIs) to provide actionable insights for senior leadership. 

Qualifications: 

• Foundational understanding of Data Governance, Data Quality, and Master Data Management (MDM) principles, specifically in a retail or supply chain context. 

• Ability to translate complex data issues into actionable business insights and perform detailed root-cause analysis. 

• Experience in governing workflows to maximize data accuracy and minimize operational friction. 

• Strong verbal and written communication skills to drive compliance and organizational change across cross-functional departments. 

Certifications, Experience, and Education: 

• Certifications: None 

• Experience: 2–4 years of experience in Data Governance, Data Quality, or Process Management; experience in a retail or merchandising environment preferred. 

• Education: Bachelor’s degree in Data Science, Information Management, Business Administration; OR relevant work-related 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/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 identity, status as a veteran and basis of disability or any other federal, state, or local protected class.