Expeditors International

NASA Quality Data Analyst (Customer Onsite)

Ellenwood, GA, United States · Contract

Sponsorship not specifiedDetected 14 hours ago

Data AnalysisSupply ChainLogisticsProcess ImprovementProcurementCustomer SupportLeadership

About the role

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).

PFMEA Creation & Implementation: Lead the initial development of Process Failure Mode and Effects Analysis (PFMEA) documentation, establishing the foundational risk matrices from scratch and teaching cross-functional teams how to utilize them as their operational "North Star."
Proactive Predictive Analytics: Design early warning systems that feed primarily off raw Issue Management data rather than completed Root Cause and Corrective Action (RCCA) loops, bypassing the standard 5-to-30 day lag time for investigations to surface immediate trends.
While you do not own the warehouse floor, you will collaborate with cross-functional Operations teams to drive accountability and execute process alignments based on your data findings.
Strategic Synthesizer: You understand that data is only valuable if it drives process improvement. You instinctively connect quality trends back to the "North Star" of the PFMEA, teaching others how data applies to process.
Tactful Influencer: You possess the interpersonal skills to influence cross-functional operational teams, effectively pitching mitigation plans and driving execution in environments you do not directly manage.
Design early warning systems that feed primarily off raw Issue Management data rather than completed Root Cause and Corrective Action (RCCA) loops, bypassing the standard 5-to-30 day lag time for investigations to surface immediate trends.

Data Proficiency: Proven ability to build operational dashboards, align disparate data streams, and apply predictive analytics to identify quality trends.
Ability to synthesize large datasets to tell a cohesive, actionable story for leadership.
3 to 5 years of experience in logistics data analysis, operations support, or quality assurance within a warehouse/supply chain environment.
Data Proficiency: Strong experience with Google Sheets (including VLOOKUPs and Pivot Tables) and Microsoft Excel.
Demonstrated ability to incorporate AI tools (e.g., Gemini) and automation workflows to streamline data synthesis, clean unstructured data, and reduce manual reporting efforts.
You aren't discouraged by the rough, upfront effort required to launch a global system.

3 to 5 years of experience in data analytics, quality assurance, or process engineering, ideally supporting a global supply chain or warehouse operations.
Deep understanding of Quality Management Systems (QMS), Root Cause and Corrective Action (RCCA) loops, and strict risk documentation methodologies.
Six Sigma Black Belt or extensive PFMEA experience is highly preferred.
Quality Acumen: Deep understanding of Quality Management Systems (QMS), Root Cause and Corrective Action (RCCA) loops, and strict risk documentation methodologies.

Proven track record of learning and mastering complex, proprietary operational databases and ticketing/bug systems.

Paid Vacation, Holiday, Sick Time
Health Plan: Medical
Life Insurance
Employee Stock Purchase Plan
Employee Referral Program Bonus
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.

This listing is sourced directly from Expeditors International's careers page and normalized into a canonical job model.