Senior Affordability Data Analytics Lead

Raytheon; McKinney (TX); On-site; USD 108,000 - 205,000; Full time

Job summary

Raytheon, McKinney, Texas, is seeking an Affordability Data Analyst Manager to lead advanced analytics and cost modeling in support of RLPM lifecycle programs. This onsite role requires a DoD Secret clearance and supports cross-functional data integration for lifecycle insights.

Responsibilities include developing analytical frameworks, guiding cost maturity assessments, and mentoring junior analysts in statistical techniques to drive informed decision-making across design, production, and

Qualifications

• University Degree or equivalent with 8+ years of relevant experience.
• Experience with statistical analysis incl. multivariate regression, forecasting, and distribution modeling.
• Experience interpreting cost structures across design, production, and sustainment.

Responsibilities

• Lead advanced analytics including multivariate regression, predictive modeling, and cost-driver decomposition.
• Develop analytical frameworks supporting RLPM phase reviews and affordability processes.
• Integrate multi-disciplinary data sources for lifecycle insight.
• Identify fixed, variable, step, and learning-curve cost behaviors and their lifecycle implications.
• Produce analytical outputs supporting CRIs, trade studies, AoAs, and cost maturity assessments.
• Mentor junior analysts in statistical techniques and affordability methods.

Skills

Statistical analysis

Multivariate regression

Forecasting

Cost analysis

Education

University degree or equivalent

Data Analytics Degree

Job description

Raytheon, McKinney, Texas, is seeking an Affordability Data Analyst Manager to lead advanced analytics and cost modeling in support of RLPM lifecycle programs. This onsite role requires a DoD Secret clearance and supports cross-functional data integration for lifecycle insights.

Responsibilities include developing analytical frameworks, guiding cost maturity assessments, and mentoring junior analysts in statistical techniques to drive informed decision-making across design, production, and