• Support day-to-day logistics operations through data analysis and operational reporting, while continuously learning how data is used to drive operational decisions.

• Learn to build and improve analytical models related to workforce efficiency, hub performance, and site evaluation, with guidance from senior team members.

• Participate in developing, testing, and maintaining data tools or scripts that support operational workflows such as parcel sorting, routing, and productivity tracking.

• Collect, clean, and analyze logistics data (e.g., volume, on-time performance, labor hours) to identify trends, issues, and improvement opportunities.

• Actively collaborate with operations and management teams to understand business processes and gradually translate operational needs into data-driven solutions.

• Continuously improve understanding of logistics operations, data systems, and KPIs through hands-on work, feedback, and self-dr...