Remote WMS Analyst — Optimize Warehouse Ops

Burlington; Ellabell (GA); Remote; USD 80,000 - 105,000; Full time

Benefits offered by this job

Associate discount

Flexible hours

Competitive wages

Job summary

Burlington Stores, Inc. is seeking a Warehouse Management System Analyst to standardize best practices across core supply chain functions and optimize WMOS usage.

You will serve as the main liaison between business users and IT, driving change across multiple facilities and ensuring effective system support. The role requires hands-on configuration, data interpretation, and collaboration with operations managers to deliver measurable efficiency gains.

Qualifications

• BA/BS in Business, Logistics, Engineering, IT or related field with Supply Chain experience.
• Knowledge of Retail WMS (Manhattan Associates Open Systems).
• Understanding of modification specs, writing and reviewing.
• Familiar with constructing test requirements and test scripts.
• Proficient in SQL, Excel and Word.

Responsibilities

• Plan, analyze, and implement WMOS functionality for multiple facilities.
• Configure WMOS locations, printers, and wave templates; maintain config log.
• Collaborate with Operations to optimize processes and translate data into actionable insights.
• Document requirements, model processes, and present concise recommendations to stakeholders.
• Provide on-call support across East/West Coast operations and assist in system issue resolution.

Skills

SQL

Retail WMS

Business analysis

Education

BA/BS in Business, Logistics, Engineering, IT

Tools

Manhattan Associates Open Systems

Excel

Word

Job description

Burlington Stores, Inc. is seeking a Warehouse Management System Analyst to standardize best practices across core supply chain functions and optimize WMOS usage.

You will serve as the main liaison between business users and IT, driving change across multiple facilities and ensuring effective system support. The role requires hands-on configuration, data interpretation, and collaboration with operations managers to deliver measurable efficiency gains.