Senior Affordability Data Analyst: Cost Insights

Raytheon; McKinney (TX); On-site; USD 69,000 - 131,000; Full time

Benefits offered by this job

Relocation assistance

Medical benefits

Dental benefits

Vision benefits

401(k) match

Flexible schedules

Employee Scholar Program

Job summary

Raytheon is seeking a Senior Affordability Data Analyst for RTX Strategy & Technology Center in the United States. You will extract and prepare engineering, production, supplier, and sustainment data for affordability use, and develop preliminary cost drivers to support affordability modeling.

Qualifications include a university degree and 2+ years of data analytics experience, proficiency with MATLAB, Python, or Excel, and cost data analysis experience. This onsite role requires U.S.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Data analytics

Cost modeling

Cost data collection

Cost element analysis

Preliminary cost estimating

Education

University degree

Data Analytics degree (preferred)

Tools

MATLAB

Python

Excel

Job description

Raytheon is seeking a Senior Affordability Data Analyst for RTX Strategy & Technology Center in the United States. You will extract and prepare engineering, production, supplier, and sustainment data for affordability use, and develop preliminary cost drivers to support affordability modeling.

Qualifications include a university degree and 2+ years of data analytics experience, proficiency with MATLAB, Python, or Excel, and cost data analysis experience. This onsite role requires U.S.