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LADS - Engineering Financial Analyst - P2 - (Hybrid)

RTX (Raytheon)Us-Ma-Tewksbury-Tb3 ~ 50 Apple Hill Dr ~ Concord Bldg, AZ · Us-Ma-Marlborough-Ma1 ~ 1001 Boston Post Rd ~ Bldg 1, AZ · Us-Az-Tucson-800 ~ 1151 E Hermans Rd ~ Bldg 800, AZ · Us-Ma-Andover-An1 ~ 350 Lowell St ~ An1 Essex Bldg, AZ · Us-Tx-Richardson-C17 ~ 1717 Cityline Dr ~ Cityline C17, AZ · Us-Ma-Woburn-Wb2 ~ 225 Presidential Way ~ Goddard Bldg, AZ · Us-Tx-Mckinney-513wd ~ 2501 W University Dr ~ Wing D Bldg, AZFull-time68,900 USD - 131,100 USD

As an Engineering Financial Analyst, you will serve as a financial partner to engineering teams and program managers at a major aerospace and defense contractor, managing the monthly cycle of financial reporting, analysis, and forecasting. Your responsibilities include developing Estimates at Complete and Latest Revised Estimates, conducting detailed variance analysis against baselines, and preparing cost and schedule reports using enterprise systems like SAP and APEX. The role requires strong analytical skills and the ability to communicate financial insights clearly to technical and non-technical stakeholders, with a focus on helping teams maintain cost control and schedule predictability. This position suits someone with a degree and relevant financial or project controls experience who can work independently while collaborating across engineering and program management functions, and who is comfortable with spreadsheet analysis and business reporting systems.

Requirements

University degree or equivalent experience plus minimum 2 years relevant financial or project controls experienceProficiency with SAP, APEX, or similar enterprise business systemsStrong MS Excel and Office skillsU.S. citizenship required for program accessAbility to perform detailed financial analysis and variance reportingStrong communication skills and flexibility in a team environment
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Listed August 1, 2026 · Verify details with the employer before applying.

About RTX (Raytheon)

Tucson houses Raytheon's missile and defense HQ producing precision-guided systems, and has flight-tested an AI/ML-powered Radar Warning Receiver.

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