Senior Data-Driven Assortment Planner

Advance-Auto-Parts

Raleigh (NC)

On-site

USD 70,000 - 100,000

Full time

14 days+

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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.

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