1. Data Operations: Collect, sort and process daily data to support business communications like weekly meetings; assist in monitoring weekly and bi-weekly operations, sort and analyze results with basic statistics, ensuring timely and accurate data. 2. Data Products: Participate in designing and processing logistics operation indicators to improve the data indicator system; assist in building analysis dashboards, join discussions on optimizing data product functions to enhance tool practicality. 3. Special Analysis:Take part in writing regular and special data analysis reports, conduct in-depth analysis of data changes, and provide references for operation optimization and decision-making. 4. Other Temporary Support: Respond to temporary data needs, provide targeted analysis content, and assist in solving sudden business data problems. Join us to work with an excellent team, access cutting-edge e-commerce logistics data business, improve professional skills and accumulate career experience. Requirements: Minimum Qualifications: - Currently Pursuing an Undergraduate/ Master in Logistics and Supply Chain Management, Operations Research, Mathematics, Statistics, Computer Science, or related fields - Proven experience in data analysis. Those with data analysis experience in course projects, research projects, or internship experiences are preferred; - Knowledge of SQL, and priority will be given to those who understand Python or R; Preferred Qualifications: - Internship or project experience in supply chain, logistics, or consulting industry-related analysis; - Participated in data analysis-related research projects, competitions, or have relevant achievements are preferred; - Understanding of e-commerce or online marketplaces; - Proven communication skills and teamwork spirit, and be able to collaborate with different teams in a fast-paced environment. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: