Senior ORSA: Analytics & Operations Optimization

Bluehawk, LLC; Pearl City (HI); On-site; USD 90,000 - 120,000; Full time

Job summary

Bluehawk, LLC in Pearl City, Hawaii is seeking an Operations Research Systems Analyst to apply advanced quantitative methods to optimize intelligence operations. The role requires developing analytical solutions for complex mission challenges and providing actionable insights to improve decision-making.

The ideal candidate will have a Master’s degree or Ph.D. in a relevant quantitative field, with at least 8 years of experience in operational analysis and the ability to work with R, Python, and MATLAB. A strategic thinker with experience in simulation modeling is preferred.

Qualifications

• Master’s degree or Ph.D. in Operations Research, Systems Engineering, or related field.
• Minimum 8+ years of OR or systems analysis experience.
• Proven success applying OR techniques to real-world challenges.

Responsibilities

• Develop mathematical models and optimization techniques for intelligence operations.
• Conduct analyses of operational workflows to identify inefficiencies.
• Build and run discrete event simulations to assess operational scenarios.

Skills

Advanced expertise in multiple OR methodologies

Deep understanding of complex systems modeling

Experience with R, Python, MATLAB

Ability to create complex simulation models

Education

Master's degree or Ph.D. in Operations Research or related field

Tools

R

Python

MATLAB

Job description

Bluehawk, LLC in Pearl City, Hawaii is seeking an Operations Research Systems Analyst to apply advanced quantitative methods to optimize intelligence operations. The role requires developing analytical solutions for complex mission challenges and providing actionable insights to improve decision-making.

The ideal candidate will have a Master’s degree or Ph.D. in a relevant quantitative field, with at least 8 years of experience in operational analysis and the ability to work with R, Python, and MATLAB. A strategic thinker with experience in simulation modeling is preferred.