Principal Logistics Analytics Specialist

RTX (Raytheon); Tucson (AZ); On-site; USD 90,000 - 150,000; Full time

Job summary

RTX (Raytheon) in Tucson, AZ is seeking a data-driven logistics analytics professional to turn Special Program Access data into actionable insights. You will analyze stock levels, movement, and storage strategies to optimize warehousing efficiency and cost, while developing dashboards and reports to monitor performance.

The role requires strong SQL/Excel skills, Power BI experience, and a background in Lean Six Sigma.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Power BI

SQL

Data analysis

Lean Six Sigma

Excel

Communication

Education

University Degree or equivalent experience

Advanced Degree in related field

Tools

Power BI

SQL

Excel (VBA, Power Query)

Job description

Date Posted:
2026-10-21

Country:
United States of America

Location:
US-AZ-TUCSON-M13 ~ 3601 E Britannia Dr ~ BRITANNIA M13

Position Role Type:
Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:
U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance Type:
None/Not Required

Security Clearance Status:
Not Required

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.

Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense.

Raytheon is seeking a professional to support data-driven decision-making within logistics and transportation operations. This role is responsible for transforming logistics data from Special Program Access and other sources into actionable information, identifying process constraints, and leading initiatives that improve delivery efficiency, reduce transportation costs, optimize warehousing, and enhance overall logistics performance. The position will work with multiple logistics functions to implement sustainable process improvements.

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.

This position is onsite at one of our Tucson, AZ locations.

What You Will Do:

• 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.

Qualifications You Must Have

• 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, in