Strategic Logistics Data Analytics Lead

Honeywell Aerospace US LLC

Phoenix (AZ)

On-site

USD 139,000 - 174,000

Full time

4 days ago
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Benefits offered by this job

Medical insurance
Disability coverage
401(k) match
Educational assistance
Parental leave
Paid holidays
PTO

Job summary

Honeywell Aerospace US LLC in Phoenix seeks a Lead Logistics Data Analyst to drive analytics and systems projects improving service, cost, productivity, and visibility across the supply chain. You will translate operational problems into practical data and system solutions, guide cross-functional delivery, and ensure results are usable by the teams that run operations.

The role requires 6+ years in logistics or integrated supply chain analytics, strong SQL, Tableau, and Python skills, and

Qualifications

  • 6+ years in logistics or integrated supply chain analytics or project delivery.
  • Experience with ERP, WMS, TMS data and processes.
  • Proficient in SQL, Tableau, and Python for data analysis.
  • Ability to lead cross-functional projects and communicate tradeoffs.

Responsibilities

  • Lead analytics and systems projects from problem definition through adoption and benefits tracking.
  • Serve as logistics SME for transportation, warehousing, inventory movements; map workflows and data flows.
  • Collaborate with Logistics, IT, Finance, and providers to improve ERP/WMS/TMS integration.
  • Develop SQL queries and Tableau dashboards; apply Python for analysis or automation.
  • Define KPIs and reconcile results with source systems.
  • Coordinate UAT, documentation, training, and change management.
  • Identify data quality and compliance risks and manage access/governance.

Skills

SQL
Tableau
Python
ERP
WMS
TMS
Data analysis

Education

Bachelor's degree

Tools

ERP systems
WMS software
TMS software

Job description

Honeywell Aerospace US LLC in Phoenix seeks a Lead Logistics Data Analyst to drive analytics and systems projects improving service, cost, productivity, and visibility across the supply chain. You will translate operational problems into practical data and system solutions, guide cross-functional delivery, and ensure results are usable by the teams that run operations.

The role requires 6+ years in logistics or integrated supply chain analytics, strong SQL, Tableau, and Python skills, and

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