SENIOR OPERATIONS RESEARCH ANALYST

About the role

The Sr Operations Research Analyst will support the development and defense of cost estimates for an Army Product Office. The role involves conducting independent cost analysis, creating lifecycle cost estimates, developing cost estimating methodologies, and providing expert technical analyses.

Responsibilities

• Plan, coordinate, and conduct independent cost analysis for the assigned program
• Ensure technical appropriateness, soundness, and accurate interpretation of results with regard to cost and budget
• Perform calculation and forecasting of future costs of systems, projects/programs, resources
• Create and maintain lifecycle cost estimates in ACE-IT
• Develop cost estimating methodologies based on available data sources
• Conduct analysis and provide recommendations using expert knowledge of cost analysis strategies including mathematics, statistical analysis, parametric and non-parametric analysis, computer modeling, regression analysis, and economic analysis
• Coordinate with the PAE FIRES and PM IFMC Program Office Estimates for APBs and other milestone review documentation
• Create documents and briefing charts that communicate current status and forecast on program with regard to cost
• Receive and analyze Earned Value Management reports and make recommendations to Product Manager based on analysis

Requirements

• History of supporting and engaging executive level leadership
• Excellent written and verbal communication skills, people skills, and enthusiasm
• Knowledge of US Army acquisition processes and experience working and closing actions/taskers that are briefed to higher headquarters and executive leadership
• High understanding of MS Office suite and ACE-IT cost modeling experience
• Ability to work with minimum guidance in addressing actions and complete products using own knowledge, ingenuity, innovation, and experience

Qualifications

• 10+ years of relevant work experience
• Active Secret Security Clearance or the ability to obtain one
• Bachelor's degree in mathematics, statistics, or Operations Research