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, feedbac...