BIP Intern

Shein Group; United States; On-site; USD 28,000 - 34,000; Full time

Job summary

Shein is seeking a Summer Data Analysis Intern to gain hands-on experience in leveraging data to drive operational excellence across its logistics and supply chain networks. You will work with cross-functional teams to collect, analyze, and visualize logistics data, helping to optimize delivery performance and support strategic decisions.

You will learn to analyze metrics, build dashboards, and identify trends and bottlenecks, translating insights into actions that improve efficiency and growth

Qualifications

• Currently pursuing a Bachelor's or Master's Degree in quantitative fields such as statistics, engineering, economics, etc.
• Proficiency in analytical tools and programming languages such as SQL, Python
• Experience with data visualization tools like Tableau, Power BI, or similar platforms.
• Must be able to commit to a 12-week full-time work period during Summer 2026

Responsibilities

• Analyze logistics performance metrics, including cost, timeliness and quality.
• Develop and maintain dashboards and reports to visualize key logistics data for stakeholders.
• Assist in identifying trends, bottlenecks, and opportunities for optimization within the logistics process
• Provide actionable insights to drive the growth of business and improvement of operational efficiency.

Job description

Job Responsibilities

Position Summary

As a Summer Data Analysis Intern at Shein, You will gain hands-on experience in leveraging data to drive operational excellence. You will work closely with cross-functional teams to collect, analyze, and visualize logistics and supply chain data, helping to optimize delivery performance. Your contributions will support strategic decision-making and continuous improvement initiatives across our logistics network.

• Analyze logistics performance metrics, including cost, timeliness and quality.
• Develop and maintain dashboards and reports to visualize key logistics data for stakeholders.
• Assist in identifying trends, bottlenecks, and opportunities for optimization within the logistics process
• Provide actionable insights to drive the growth of business and improvement of operational efficiency.

Job Requirements

• Currently pursuing a Bachelor's or Master's Degree in quantitative fields such as statistics, engineering, economics, etc;
• Proficiency in analytical tools and programming languages such as SQL, Python
• Experience with data visualization tools like Tableau, Power BI, or similar platforms.
• Must be able to commit to a 12-week full-time work period during Summer 2026