Logistics Analytics & Systems Lead

Honeywell Aerospace; Torrance (CA); On-site; USD 139,000 - 174,000; Full time

Benefits offered by this job

Employer‑subsidized medical, dental, v

Life insurance

401(k) match

Disability coverage

Paid holidays

Paid time off

Educational assistance

Job summary

Honeywell Aerospace is seeking a Lead Logistics Data Analyst to drive analytics and systems projects improving service, cost, productivity, and visibility across the logistics network. You will lead cross-functional exchanges, map data flows, and ensure data integrity in ERP, WMS, and TMS systems.

Responsibilities include developing SQL queries, Tableau dashboards, and Python-based analyses, while guiding implementations and adoption across the organization.

Qualifications

• 6+ years in logistics or integrated supply chain operations, analytics or project delivery.
• Experience with ERP/WMS/TMS data and processes.
• Hands-on SQL for data investigation and reconciliation; experience building dashboards in Tableau or similar.
• Ability to lead cross-functional projects and communicate tradeoffs.

Responsibilities

• Lead analytics and systems projects from problem definition through benefits tracking.
• Serve as logistics process SME for transportation, warehousing, inventory movement.
• Partner with Logistics, IT, Finance and external providers to improve ERP/WMS/TMS integration.
• Develop or guide SQL queries, data validation, dashboards, and Python analyses as needed.
• Use metrics to prioritize opportunities and measure outcomes (cost, on-time, productivity).
• Coordinate testing, training and change management for new reports and processes.
• Identify data quality and governance risks and work with owners on access and compliance.

Skills

SQL queries

Tableau dashboards

Python

Leadership

Education

Bachelor’s degree in related field

Tools

ERP

WMS

TMS

Job description

Honeywell Aerospace is seeking a Lead Logistics Data Analyst to drive analytics and systems projects improving service, cost, productivity, and visibility across the logistics network. You will lead cross-functional exchanges, map data flows, and ensure data integrity in ERP, WMS, and TMS systems.

Responsibilities include developing SQL queries, Tableau dashboards, and Python-based analyses, while guiding implementations and adoption across the organization.