Warehouse Process Innovation Analyst - Englewood Cliffs - LX Pantos Americas

    LX Pantos Americas
    LX Pantos Americas Englewood Cliffs

    19 hours ago

    Transportation / Logistics
    Description

    Job Summary

    We are seeking a Warehouse Process Innovation (PI) Analyst / Associate to support enterprise-level warehouse transformation initiatives including productivity analytics, capacity planning, KPI governance, warehouse digitalization, and automation programs across large-scale U.S. distribution centers.

    This role is designed as a core execution member of the DC Transformation team and will directly support operational cost reduction, productivity improvement, and warehouse systems.

    Job Description

    1) Cost & Productivity Analytics

    - Support unit cost and productivity analysis by warehouse and process

    - Analyze workload fluctuation, staffing baseline, and productivity trends

    - Support forecast vs actual gap analysis and daily workload control processes

    - Assist capacity planning and staffing baseline modeling

    2) DC KPI & Performance Governance

    - Design, track, and analyze DC operational KPIs

    - Support KPI definition, data standards, and reporting governance

    - Assist performance monitoring, improvement tracking, and reporting cleanup

    3) Labor & Equipment Governance

    - Support special project labor deployment analysis

    - Support clamp equipment monitoring, utilization analysis, and OT management

    - Support equipment and labor tracking initiatives

    4) Process Digitalization & Automation

    - Support warehouse process digitalization (LPN, routing guide, pallet governance)

    - Support Gate Automation, E-BOL, and yard/dock automation programs

    - Participate in automation pilot stabilization and ROI tracking

    Job Requirement (Entry ~ Junior Level)

    - Bachelor's degree in Industrial Engineering, Logistics, Statistics, Computer Science, or a related field

    - 1–4 years of experience in DC operations, warehouse engineering, or process improvement

    - Proficiency in Excel and basic data analysis

    - Experience working with WMS or logistics systems

    - Willingness to travel to distribution centers as needed for projects and site support

    Business Hours

    Mon-Fri 08:00 AM to 5:00 PM


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Englewood Cliffs