BIP Intern

Shein; Bellevue (WA); On-site; USD 24,796 - 33,062; Full time

Job summary

Shein in Bellevue, WA is seeking a Summer Data Analysis Intern to gain hands-on experience analyzing logistics data and driving operational improvements across our supply chain.

You will collect, analyze, and visualize logistics metrics, develop dashboards, and provide actionable insights to support strategic decisions during a 12-week summer program.

Qualifications

• Pursuing a Bachelor’s or Master’s degree in quantitative fields (e.g., statistics, engineering, economics).
• Proficient in SQL and Python.
• Experience with data visualization tools like Tableau or Power BI.

Responsibilities

• Analyze logistics performance metrics (cost, timeliness, quality).
• Develop and maintain dashboards and reports to visualize key logistics data for stakeholders.

Skills

Analytical thinking

Data-driven decision making

Cross-functional collaboration

Education

Bachelor’s or Master’s degree in quantitative fields

Tools

SQL

Python

Tableau

Power BI

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.

Job 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 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.