Warehouse Data Analyst

TIG, The Integration Group•Chicago, IL

just now

About The Position

The Warehouse Data Analyst plays a critical role in supporting 3PL operations by analyzing warehouse, inventory, and labor data to drive efficiency, accuracy, and continuous improvement. This role partners closely with operations leadership, site managers, and IT to translate data into actionable insights that improve productivity, cost control, service levels, and customer outcomes across multi-site warehouse operations.

Requirements

Bachelor’s degree in Supply Chain Management, Business Analytics, Information Systems, Industrial Engineering, OR at least 8 years experience in a warehouse, logistics, or 3PL analytics role
At least 5 years’ experience in a warehouse, logistics, or 3PL analytics role
Strong proficiency in Excel (pivot tables, advanced formulas, data analysis)
Experience working with WMS and warehouse operational data
Strong analytical, problem-solving, and attention-to-detail skills
Experience in a 3PL or multi-site warehouse environment
Familiarity with Power BI, Tableau, SQL, or similar reporting tools
Understanding of labor standards, productivity metrics, and warehouse KPIs
Experience supporting continuous improvement or Lean initiatives

Responsibilities

Analyze warehouse operational data including productivity, labor utilization, inventory accuracy, order fulfillment, and service level metrics
Develop and maintain dashboards and reports to track KPIs such as pick/pack rates, dock-to-stock time, inventory turns, shrink, and order accuracy
Provide recurring and ad-hoc analysis to support operational decisions and customer reporting
Partner with warehouse leadership to identify trends, inefficiencies, and improvement opportunities
Support labor planning, capacity forecasting, and workload balancing using historical and real-time data
Assist in root-cause analysis for operational issues such as missed SLAs, inventory variances, or productivity gaps
Extract, validate, and reconcile data from WMS, TMS, ERP, and labor management systems
Ensure data accuracy, consistency, and integrity across systems and reports
Work with IT and operations to improve data capture, reporting automation, and system utilization
Track performance improvements and savings from process changes and operational initiatives
Provide data support for new customer implementations, volume changes, and network optimization