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# Principal Logistics Specialist

- **Company:** RTX
- **Location:** Carrollton, TX, United States
- **Experience:** Experienced
- **Salary:** $86,800.0 - $165,200.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Business Analytics Applications, Data Integrity, Routing, Power BI, SAP Sales and Distribution, SQL Databases, Systems Integration, Data Processing, Powerquery, Optimization Algorithms, Vba Programming Language, Network Optimization
- **Published:** October 22, 2026
- **Apply:** https://www.businessworkforce.com/job.asp?id=3472105431&tx=JP3731FFP&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

This role requires strong analytical skills, proficiency in ERP logistics modules, experience with continuous improvement methodologies, and the ability to communicate technical findings to a range of stakeholders., * Typically requires a University Degree or equivalent experience and minimum 5 years of prior relevant experience, or An Advanced Degree in a related field and 3 years experience.

 * Experience collecting, cleaning, analyzing, and interpreting large, complex logistics datasets to derive actionable insights, with a focus on warehousing and inventory.
 * Experience creating dashboards and reports using tools such as Power BI, or similar platforms.
 * Experience with analytical tools like SQL, or advanced Excel (VBA, Power Query) for data manipulation and statistical analysis.
 * Problem-Solving Skills: Excellent analytical and problem-solving skills with a proven track record of identifying root causes and implementing sustainable solutions within logistics operations.
 * Communication & Presentation Skills: Demonstrated ability to translate complex analytical findings into clear, concise, and compelling presentations for both technical and non-technical audiences, including senior leadership.

Qualifications We Prefer

 * Experience with predictive modeling, simulation, or optimization techniques (e.g., network optimization, routing algorithms, inventory optimization models specific to logistics).
 * Experience with Enterprise Resource Planning ERP software with integrated logistics capabilities.
 * Experience managing multiple, complex improvement projects simultaneously, from conception to completion.
 * Lean Six Sigma Black Belt, APICS CSCP, CLTD, CPIM certifications.
 * Experience in a highly regulated industry, preferably Aerospace & Defense.

## Description

* Collaborate with inventory compliance teams to analyze stock levels, movement patterns, and storage strategies to optimize warehousing efficiency, tools, and accuracy.
 * Develop and implement data collection, storage, and reporting strategies for key logistics metrics across, warehousing, inventory accuracy, and leveraging Special Program Access Warehouse Managed (WM) system as a primary data source.
 * Conduct in-depth quantitative analysis using complex datasets from Special Program Access (e.g., WM, SD, MM modules) and other logistics systems to identify trends, pinpoint warehousing inefficiencies, and uncover opportunities for cost reduction and service level improvement.
 * Design, develop, and maintain interactive dashboards and reports (e.g., Power BI) that provide visibility into logistics performance, highlighting areas of excellence, opportunities for improvement, and potential risks to stakeholders.
 * Lead cross-functional teams in applying Lean and Six Sigma methodologies to conduct root cause analysis for logistics inefficiencies, delivery delays, freight anomalies, and inventory discrepancies.
 * Champion and lead continuous improvement projects specifically aimed at streamlining supply chain networks, optimizing warehouse layouts, enhancing inventory flow, and improving overall logistics operational effectiveness.
 * Partner with IT, Procurement, Operations, Property, 3PL (Third Party Logistics) and other business units to ensure Special Access Program data integrity, seamless system integration, and the successful implementation of logistics improvement initiatives.
 * Develop and deliver training on logistics data analytics tools and continuous improvement methodologies (e.g., CORE principles) to empower logistics team members.