Supply Chain Optimization Intern

Foot Locker•New York, NY
•Remote

About The Position

As a Supply Chain Optimization intern at Foot Locker, you will analyze complex data sets to inform business decisions, improve customer experiences, and support operational excellence. You will work with cross-functional teams—including enterprise data, global supply chain, allocation, and store operations—to identify opportunities for improvement and develop data-driven solutions. The role supports Foot Locker’s supply chain modernization efforts, which include investments in global distribution centers, advanced technology, and fulfillment options.

Requirements

  • Pursuing or recently completed a graduate degree in a quantitative field such as Operations Research, Industrial Engineering, Statistics, or Supply Chain Management.
  • Strong analytical and problem-solving skills.
  • Proficiency in Microsoft Excel, including experience creating reports and visualizations.
  • Proficiency in SQL and Python, with experience in data analysis and manipulation.
  • A proactive and self-motivated approach to problem-solving, with a passion for customer experience.
  • Strong verbal and written communication skills.
  • Ability to present ideas and findings clearly and concisely.
  • Ability to work independently and as part of a team, with strong attention to detail and the ability to multitask.

Nice To Haves

  • Experience with Power BI or other visualization tools such as Tableau.

Responsibilities

  • Assist in building and maintaining global supply chain dashboards in Power BI, ensuring data accuracy and relevance.
  • Research and implement UI/UX best practices for Power BI dashboards so visualizations are intuitive, user-friendly, and meet stakeholder needs.
  • Analyze key performance indicators and support root cause analysis of underperforming metrics, contributing to actionable insights.
  • Serve as a resource for supply chain business data and assist with user-driven report customizations for supply chain use cases.
  • Use SQL and Python to query and manipulate large datasets and develop scripts to automate data processing.
  • Participate in project planning and execution, including gathering and analyzing data and presenting findings.
  • Collaborate with cross-functional teams to drive data-driven business actions.

Benefits

  • Competitive internship stipend.
  • Opportunities for professional growth and development.
  • Collaborative and dynamic work environment.
  • Access to industry-leading tools and technologies.
  • Casual dress environment.
  • Employee discount.
  • Practical experience in data analytics and customer experience improvement.
  • Opportunity to work with experienced professionals in a dynamic and fast-paced environment.
  • Chance to contribute to the success of a leading retail company.
  • Development of analytical and problem-solving skills.
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