Key Account Managment Analyst

Contenuto del lavoro

To strategize and to extract information from extensive logistics-related data in order to uncover valuable and practical insights to assist our clients in making informed business decisions.

1. Data Collection and Cleansing: Consolidate, organize, and review large volumes of logistics-related data, ensuring data integrity and accuracy.

2. Deep Dive Analysis: Utilize data analysis tools (including but not limited to Excel, Power BI, VBA, Python) to conduct in-depth analysis of warehouse and transport logistics operations.

3. Report Generation: Create clear and accurate data reports and build self-service tools to cross functional stakeholders.

4. Predictive Analysis: Use data models for predictive analysis to identify potential issues in advance, such as supply chain delays or inventory shortages.