Senior Data-Driven Assortment Planner

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

Job summary

Advance Auto Parts is seeking a data analytics professional to analyze, mine, and apply statistical methods on our product assortment in Raleigh, NC. You will develop clear reports and presentations using data visualization to support key stakeholders and decisions.

The ideal candidate has 3–5 years of business analytics experience, strong SQL and Excel skills, and experience with Python/VBA. You will work cross-functionally, measure assortment performance, and stay current with big data trends.

Qualifications

• Bachelor's degree in math, CS, engineering, or related field.
• 3–5 years of Business Analyst experience or related field.
• Strong SQL and Excel skills (intermediate to advanced).
• Experience with data visualization and reporting.
• Ability to translate complex data into clear insights.

Responsibilities

• Analyze, mine, and apply statistical methods to identify patterns in product assortment.
• Develop reports and presentations using data visualization to communicate findings and recommendations to stakeholders.
• Collaborate cross-functionally with teams to identify business issues and opportunities.
• Measure and optimize assortment effectiveness using established and new techniques.
• Build partnerships with management and participate in weekly category meetings.
• Stay current with developments in big data and analytics; support ad hoc analytic needs.

Skills

SQL

Data analysis

Data visualization

Big data

Communication

Cross-functional collaboration

Python basics

OOP basics

Education

Bachelor's in Math/CS/Engineering

Tools

SQL

Excel

Python

Job description

Advance Auto Parts is seeking a data analytics professional to analyze, mine, and apply statistical methods on our product assortment in Raleigh, NC. You will develop clear reports and presentations using data visualization to support key stakeholders and decisions.

The ideal candidate has 3–5 years of business analytics experience, strong SQL and Excel skills, and experience with Python/VBA. You will work cross-functionally, measure assortment performance, and stay current with big data trends.