WMS Analyst

Synstack Technologies

Mississippi

On-site

USD 75,000 - 105,000

Full time

47 hours ago
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Job summary

Synstack Technologies is seeking an experienced WMS liaison to serve as the on-floor point of contact for warehouse associates and supervisors. You will analyze interface issues between WMS and OMS/ERP/TMS, coordinate resolutions with technical teams, and translate operational pain points into prioritized system requirements.

You will work closely with warehouse operations leadership and IT, tracking issue trends, recommending configuration or process changes to reduce manual workarounds, and

Qualifications

  • 7+ years of experience supporting a Warehouse Management System (WMS) in a live warehouse/distribution center environment.
  • Strong understanding of core warehouse operations and order journey (receiving, put-away, replenishment, wave planning, picking, packing, shipping, cycle counting).
  • Hands-on experience with RF/handheld scanning devices and troubleshooting device-level issues.
  • Working knowledge of SQL for data investigation and reporting (able to write and modify queries independently).

Responsibilities

  • Serve as the on-floor point of contact for WMS-related issues raised by warehouse staff and shift leads.
  • Analyse WMS-to-OMS/ERP/TMS interface issues and coordinate resolution with technical teams.
  • Translate operational pain points into prioritized system requirements for IT.
  • Track issue trends and flag recurring problems indicating gaps in system or process.
  • Identify opportunities to reduce manual workarounds through configuration or process changes.
  • Support peak season readiness planning and post-incident reviews.

Skills

WMS support
SQL queries
RF scanners
Operations liaison
On-site work
Communication

Tools

Manhattan
Blue Yonder/JDA
FDM4

Job description

  • Serve as the on-floor point of contact for WMS-related issues raised by warehouse associates, supervisors, and shift leads.
  • Analyse WMS-to-OMS/ERP/TMS interface issues (e.g., inventory sync failures, order status mismatches) and coordinate resolution with technical teams.
  • Act as the liaison between warehouse operations leadership and the IT/applications team — translating operational pain points into prioritized system requests and translating technical constraints back into plain language for operations.
  • Track issue trends and proactively flag recurring problems that indicate a deeper system or process gap.
  • Identify opportunities to reduce manual workarounds through system configuration or process changes.
  • Support peak season readiness planning (volume stress-testing, configuration reviews, contingency planning).
  • Contribute to post-incident reviews and help implement preventive measures.
Required Qualifications:
  • 7+ years of experience supporting a Warehouse Management System (WMS) in a live warehouse/distribution center environment (e.g., Manhattan, Blue Yonder/JDA, FDM4 or similar).
  • Solid understanding of core warehouse operations and order journey: receiving, put-away, replenishment, wave planning, picking, packing, shipping, and cycle counting.
  • Hands‑on experience with RF/handheld scanning devices and troubleshooting device‑level issues.
  • Working knowledge of SQL for data investigation and reporting (able to write and modify queries independently).
  • Demonstrated ability to work directly with warehouse floor staff and translate operational issues into clear, actionable system requirements.
  • Comfortable working on‑site in a warehouse environment, including time on the floor (not a desk‑only role).
  • Strong communication skills — able to explain technical issues to non‑technical operations staff and operational context to technical teams.
  • Excellent interpersonal skills with a proven ability to build trust and strong working relationships across warehouse floor staff, supervisors, and technical teams — someone people want to come to with a problem.
  • Experience with WMS integrations to OMS, TMS, or ERP systems and understanding of interface/event‑driven data flows (e.g., EDI, APIs, message queues).
  • Experience supporting peak‑season volume events (e.g., holiday retail surge) in a warehouse setting.
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