workday
Principal Affordability Data Analytics Engineer
RTX
McKinney, USA
Full-time
Senior · 8+ years experience
Discovered Yesterday
Free
Job Fit Check
Base Career helps you apply smarter for this job.
?%
Ready to ScanFull Job Posting
Location:
- Position Role Type:
- U.S. Citizen, U.S. Person, or Immigration Status Requirements:
- Security Clearance Type:
- Security Clearance Status:
- At RTX, the world 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.
- Affordability at Raytheon is a systems-engineering-driven discipline focused on delivering the best value solutions across the full product lifecycle—from concept and design through production, sustainment, and retirement. Affordability integrates cost, schedule, technical performance, producibility, and sustainment into a decision framework aligned to the Raytheon RLPM (RTX Lifecycle Program Management) structure. Affordability ensures decisions are data-driven, support mission readiness, and comply with Defense industry requirements and constraints. Affordability transforms complex engineering and operational data into clear cost insights that help programs meet customer expectations, reduce risk, and improve long-term value. The Principal Affordability Data Analytics Engineer leads advanced statistical and lifecycle cost analyses supporting affordability modeling, cost credibility, and RLPM milestone reviews. The Principal Affordability Data Analytics Engineer develops analytic frameworks, identifies key cost drivers, and supports Modelers and Leads with high-confidence datasets.
- This is an onsite role located in McKinney, TX.
What You Will Do
- Lead advanced analytics including multivariate regression, predictive modeling, and cost-driver decomposition.
- Develop analytical frameworks supporting RLPM phase reviews and affordability processes.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at RTX
Principal System Administrators- active Secret and 4th shift!
Tucson, USA
SeniorFull-time
Discovered TodayView →
Repair SIOP Planner & Capacity Verification Lead (Onsite)
Hartford, USA
LeadFull-time
Discovered TodayView →
Supplier Metallurgical Control Specialist – Northeast Region (Remote)
, USA
MidFull-time
Discovered TodayView →
Senior Systems Engineer - Aftermarket Systems (Onsite)
Cedar Rapids, USA
SeniorFull-time
Discovered TodayView →
1st Shift Mechanical Manufacturing Technician I Onsite
Des Moines, USA
JuniorFull-time
Discovered TodayView →
Principal System Administrators- active Secret and 4th shift!
Tucson, USA
Discovered TodayFull-time
Repair SIOP Planner & Capacity Verification Lead (Onsite)
Hartford, USA
Discovered TodayFull-time
Supplier Metallurgical Control Specialist – Northeast Region (Remote)
, USA
Discovered TodayFull-time
Senior Systems Engineer - Aftermarket Systems (Onsite)
Cedar Rapids, USA
Discovered TodayFull-time
Product Owner, Supply Chain Digital Solutions
, USA
Discovered TodayFull-time
Systems Engineering Intern (Summer 2027)
Goleta, USA
Discovered TodayFull-time
Production Worker I - Detcord 2nd Shift
Fairfield, USA
Discovered TodayFull-time
1st Shift Mechanical Manufacturing Technician I Onsite
Des Moines, USA
Discovered TodayFull-time
