Job Overview
We are looking for a Bilingual Distribution Data Analyst with strong data analytics capabilities, project execution skills, and excellent cross-functional communication abilities.
In this role, you will support daily operational monitoring, sorting process optimization, and system feature implementation across sorting centers nationwide. You will leverage data analysis to uncover operational bottlenecks and collaborate closely with Warehouse Operations, Product, IT, Quality, and Management teams to drive issue resolution and continuous process improvement.
This position goes beyond pure report building and data monitoring—you will also deeply participate in testing and rolling out sorting systems, warehouse workflows, and new initiatives. It is an ideal role for candidates looking to build a multi-faceted career blending Operations, Data Analytics, and Project Management.
Key Responsibilities
1. Sorting Operations Data Monitoring & Analysis
- Monitor core operational metrics across all US sorting centers, including sorting volume, automated vs. manual sorting ratios, departure timeliness, exception rates, unloading performance, package status, and process completion rates.
- Identify operational anomalies, process bottlenecks, and potential risks through data analysis, and follow up with local hubs to troubleshoot and implement fixes.
- Routinely compile operational performance and project data to provide actionable insights for executive leadership.
2. Dashboard & Reporting Construction
- Build and maintain operational Dashboards, daily/weekly reports, and ad-hoc analytical frameworks based on business requirements.
- Extract, clean, analyze, and visualize data using Excel, Google Sheets, and other analytical tools.
- Continuously refine KPI definitions and data monitoring logic to enhance anomaly detection and operational management efficiency.
3. Sorting Process & SOP Optimization
- Gain a deep, hands-on understanding of warehouse workflows, including sorting, consolidation/bagging, dispatch, unloading, and linehaul transportation.
- Identify efficiency gaps based on ground-level operational feedback and drive process optimizations.
- Draft, update, and standardize Standard Operating Procedures (SOPs) across all hubs.
- Track post-optimization performance and validate results using quantitative data.
4. System Testing & Project Launch Execution