Senior Affordability Data Analyst

Location: US-TX-MCKINNEY-513WD ~ 2501 W University Dr ~ WING D BLDG

 Position Role Type: Onsite

 U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required.​ U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

 Security Clearance Type: DoD Clearance: Secret

 Security Clearance Status: Active and existing security clearance required after day 1 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. Raytheon’s Strategy & Technology Center is seeking an Affordability Data Analytics Engineer. The Affordability Data Analytics Engineer plays a key role in advancing Affordability objectives by transforming raw data into actionable insights. This position focuses on extracting structured data, conducting foundational statistical analysis, and identifying key cost drivers using RTX data repositories. The engineer ensures high‑quality analytical outcomes by preparing clean datasets, developing initial cost assessments, and supporting Affordability Modelers in RLPM‑aligned analysis. This role delivers consistent, day‑to‑day analytical contributions that strengthen decision‑making across the work area. This is an onsite role located in McKinney, TX.

Extract and prepare engineering, production, supplier, and sustainment data from RTX repositories for affordability use. Develop preliminary cost‑driver lists and basic statistical summaries (correlation checks, variance review, simple distribution views). Identify and document fixed vs variable cost indicators based on guided criteria. Create basic charts or visualizations that support affordability tasks. Maintain traceability through consistent dataset documentation and adherence to required data‑handling procedures.

You Must Have Typically requires a University Degree or equivalent experience and a minimum of 2 years of prior relevant experience. Experience performing data analytics in a professional environment. Experience with MATLAB, Python, and/or Excel. Experience with cost modeling, supporting cost data collection, cost element analysis, and/or preliminary cost estimating.

We Prefer A Data Analytics Degree. Active and transferable Secret clearance. Work experience in regulated industries, such as aerospace, defense, or other environments with formal compliance requirements. Experience working with engineering analysis. What We Offer : Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.  Relocation Eligible – Relocation assistance is available. Learn More & Apply Now!  Please consider the following role type definition as you apply for this role. Onsite : Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.   This position requires a security