Key Responsibility:
1. Establish and optimize business logic models and data models, including S&OP forecasting, transportation resource layout, market freight rate analysis, etc.
2. Use data mining to extract directions for improving the quality of logistics operations and future cost trends in the transportation market.
3. Responsible for visualizing internal data of logistics centers and external transportation market data, empowering business operations.
4. Monitor logistics operational metrics and optimize reports.
Job Requirements:
1. Bachelor's degree or above in mathematics, statistics, computer science, or a related field in supply chain and logistics.
2. Proficiency in BI, Tableau, and other data visualization tools, with a proficient use of SQL, R, Python, or another programming language.
3. Deep understanding of data analysis, data mining, familiarity with commonly used algorithms such as logistic regression, and association analysis.
4. Strong learning ability, curiosity, and clear logical thinking.
5. Prior experience in logistics data analysis and modeling is preferred.
