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Affordability Data Analyst Manager
RTX
McKinney, USA
Full-time
Manager · 8+ years experience
Discovered 4 days ago
Free
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- U.S. Citizen, U.S. Person, or Immigration Status Requirements:
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- 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 Affordability Data Analyst Manager leads advanced statistical and lifecycle cost analyses supporting affordability modeling, cost credibility, and RLPM milestone reviews. The Senior Affordability Data Analytics Engineer Support 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.
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