Data Analyst at Advance Auto Parts

Raleigh, North Carolina, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Oct, 26

Salary

0.0

Posted On

18 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Power BI, Data Analysis, Excel, Data Validation, Documentation, DAX, Power Query

Industry

Retail

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. California Residents click below for Privacy Notice: https://jobs.advanceautoparts.com/us/en/disclosures

Responsibilities

The Data Analyst supports the Supply Chain team by writing SQL queries, building Power BI visuals, and validating data. They are also responsible for maintaining documentation and supporting backlog items to scale the team's output.