Advance Auto Parts

Data Analyst

Advance Auto Parts · Raleigh, North Carolina, United States

Retail · 10,001+ employees

20 h ago
Mid (2-5 yrs) Full-time United States
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About the role

The Data Analyst will support the Data & Analytics team by performing SQL queries, building Power BI visuals, and validating data. This role aims to enhance the team's output without relying on senior analysts for daily guidance.

What they look for

SQL Power BI Excel Data Analysis Data Validation Documentation Attention to Detail WMS ERP DAX Power Query Data Quality Supply Chain Big Data Data Optimization Problem Solving

Requirements

Candidates should have experience with Excel and foundational SQL skills, along with basic Power BI knowledge. Attention to detail and the ability to learn WMS/ERP concepts are also important.

Benefits

Health Insurance Wellness Benefits

Full description

Job Description

Job Summary:

The Data Analyst supports the Data & Analytics team with a focus on Supply Chain, by performing structured SQL queries, building basic Power BI visuals, validating data, and documenting logic. This role is designed to scale the team’s output, not depending on senior analysts for daily guidance.

Location & Work Availability:

This position is Hybrid (4 days in office, 1 day remote), based at our corporate headquarters in Raleigh, North Carolina.

What will you do?

  • Build and maintain basic report pages under the supervision of senior analysts.
  • Write and test basic SQL queries for analysis or validation.
  • Perform data quality checks using predefined patterns.
  • Update documentation in Confluence/OneNote/Collibra.
  • Support backlog items like building filters, updating visuals, and validating data loads.
  • Escalate data issues when something “looks off.”

Qualifications:

  • Experienced in leveraging Excel and well versed in data analysis concepts
  • Solid foundational SQL (SELECT, JOIN, GROUP BY, CASE)
  • Basic experience building Power BI visuals and simple measures
  • Ability to follow existing semantic models and metric definitions
  • Strong attention to detail and willingness to ask clarifying questions
  • Ability to learn WMS/ERP concepts with guided onboarding
  • Can execute repetitive validation tasks without losing accuracy

Nice To have Qualifications

  • Experience with Microsoft power tools (Power Query, DAX, pivot modeling)
  • Basic knowledge of supply chain or operational datasets
  • Experience in "Big Data" and data optimization best practices
  • Comfortable with being uncomfortable – an ability to figure things out without always knowing what direction to take

Certifications, Experience, and Education:

  • Certifications: SnowSQL/TSQL,DAX, Power Query
  • Experience: 3-5 yrs as a data analyst
  • Education: Bachelor's degree

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.

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.

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