NASA Quality Data Analyst (Customer Onsite)

“We’re not in the shipping business; we’re in the information business” -Peter Rose, Expeditors Founder Global supply chain management is what we do, but at the heart of Expeditors you will find professionalism, leadership, and a friendly environment, all of which foster an innovative, customer service-based approach to logistics. 19,000 trained professionals 350+ locations worldwide Fortune 500 Globally unified systems As the newly implemented Quality Management System (QMS) reaches General Availability globally, we are seeking a highly autonomous Quality Data Analyst to act as the primary engine for system stabilization and data extraction globally. Early-stage systems are notoriously complex and initially unstable; we need a tenacious data specialist who can navigate sparse documentation, extract fragmented data, and build a predictive data pipeline from the ground up. You will be the sole bridge connecting real-time warehouse floor errors directly to our engineering risk documentation, specifically Process Failure Mode and Effects Analysis (PFMEA). By standardizing the data to tell a cohesive story, bypassing the latency of traditional RCCA loops, and defining strict thresholds for risk updates, you will turn operational noise into actionable process improvements and prevent administrative chaos. Top Daily Responsibilities: Investigative System Stabilization: Navigate the newly launched, GA-stage QMS tool to extract, condition, and manage quality data, working through initial system instability and backend API learning curves to create reliable data pipelines. Data Standardization & KPI Alignment: Audit and unify core data streams, working directly with Insights teams to adjust backend tables. You will ensure the correct data is pulled, made visible to users, and aligned with business KPIs so the data tells a cohesive operational story. PFMEA Creation & Implementation: Lead the initial development of Process Failure Mode and Effects Analysis (PFMEA) documentatio