Data-Driven Warehouse Quality Analyst (AI & Automation)

YQN Logistics; Romeoville (IL); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

401(k)

Dental insurance

Health insurance

Paid time off

Vision insurance

Job summary

YQN Logistics is seeking a data-driven Quality & Risk Analyst to identify, flag, and track quality issues across warehouses in the Chicago and Atlanta regions. You will surface risk through data production and analysis, building dashboards and models to monitor performance.

Responsibilities include on-site inspections, data source expansion, and driving corrective actions with measurable outcomes. Strong English communication and AI tooling experience are essential for success in this role.

Qualifications

• Strong data analysis skills and ability to independently extract data, perform analysis, and deliver conclusions.
• Uses AI tools as a standard part of daily work, applying AI to data processing, analysis, report generation, and process automation.
• Proficient in English, verbal and written; strong communication skills.
• Open to new AI tools and ways of working, with the ability to learn quickly and apply them to business scenarios.
• Able to convert repetitive monitoring and analysis work into automated or AI-driven processes.
• Hands-on experience building AI agents, knowledge bases, or process automation during projects.

Responsibilities

• Data Production: Planning, Validation, and Analysis.
• Expand data sources required for quality management and turn on-site conditions into trackable data.
• Own data accuracy and consistent data definitions.
• Perform data-based analysis, diagnosis, and root-cause identification of quality and risk issues.
• Build and maintain quality dashboards and analytical models.
• Own early-warning for operational quality and risk; establish escalation mechanics.
• Conduct on-site inspections and deliver evidence-backed reports with corrective actions.
• Identify discrepancies between on-site conditions and system data and convert into monitorable metrics.
• Deliver quality improvement recommendations and verify outcomes with operations.

Skills

Data analysis

AI tools

English proficiency

Communication

AI adaptability

AI agents

Tools

Software development

Automation

Lean Six Sigma

Job description

YQN Logistics is seeking a data-driven Quality & Risk Analyst to identify, flag, and track quality issues across warehouses in the Chicago and Atlanta regions. You will surface risk through data production and analysis, building dashboards and models to monitor performance.

Responsibilities include on-site inspections, data source expansion, and driving corrective actions with measurable outcomes. Strong English communication and AI tooling experience are essential for success in this role.