SKU Optimization & Assortment Intern

Genuine Parts Company

Atlanta (GA)

On-site

USD 22,000 - 30,000

Full time

3 days ago
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Job summary

Genuine Parts Company (GPC) invites rising juniors and seniors to join its 10-week Assortment Planning Internship in Atlanta. The program runs May 24–July 20, 2027, in person, with a cohort experience designed to build skills and community.

You will develop an Assortment Engine to optimize SKU productivity, build dashboards in Power BI, and present findings to senior leaders, collaborating with analytics, inventory planning, and category teams.

Qualifications

  • Currently a rising junior or senior pursuing an undergraduate degree in Data Analytics, Data Science, Computer Science, Statistics or related field.
  • Experience with data analysis tools such as SQL, Python, R, Power BI, Tableau, Excel.

Responsibilities

  • Develop a data-driven methodology to evaluate SKU and product line performance using key metrics.
  • Create a scoring framework for SKU rationalization candidates.
  • Quantify optimization opportunities to reduce inventory investment and improve GMROI.
  • Analyze categories and suppliers to identify optimization opportunities.
  • Support sensitivity analysis for assortment strategies.
  • Design and build interactive dashboards in Power BI or similar tools.
  • Summarize findings and recommendations for senior leaders through presentations.

Skills

Data analysis
Data visualization

Education

Undergraduate degree in Data Analytics/ related field
GPA 3.25+ preferred

Tools

SQL
Python
R
Power BI
Tableau
Excel
AI

Job description

Genuine Parts Company (GPC) invites rising juniors and seniors to join its 10-week Assortment Planning Internship in Atlanta. The program runs May 24–July 20, 2027, in person, with a cohort experience designed to build skills and community.

You will develop an Assortment Engine to optimize SKU productivity, build dashboards in Power BI, and present findings to senior leaders, collaborating with analytics, inventory planning, and category teams.

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