Logistics Data Analysis Lead
Key Responsibilities:
- Oversee and analyze the order backlog, identifying operational bottlenecks to ensure supply chain continuity.
- Develop and automate service level indicator tracking, evaluating delivery status to ensure compliance with promised customer delivery times.
- Analyze and manage the lifecycle of critical orders, implementing early warning alerts for delayed orders and coordinating corrective actions with the operations team.
- Control in-transit and warehouse inventory by auditing the visibility of pending packages through system data extraction and consolidation, ensuring inventory accuracy.
- Optimize and automate reporting and data extraction to reduce manual workload and improve the accuracy of response time measurements.
- Analyze the root causes of warehouse delays and propose improvements to dispatch processes based on data-driven insights.
Requirements:
- Bachelor’s degree in Data Science, Mathematics, Systems Engineering, or a related field.
- Intermediate-to-advanced conversational English proficiency.
- At least 1 year of experience in data analysis; logistics experience is a plus.
- Experience in planning, performance metrics, and process improvement.
- Advanced Excel skills, including the use of complex formulas; knowledge of SQL and QGIS is a plus.
- Knowledge of the Mexican postal code system is a plus.