Cost Analyst (Engineering Contracts) with Security Clearance

StellarPeak
Chantilly, Virginia 20151 United States  View Map
Posted: May 30, 2026
  • Full Time
  • Federal Government
  • Summary

    Cost Analyst Chantilly, VA TS/SCI CI Poly The Senior Cost Analyst provides knowledge and expertise applying principles, theories and methods of cost estimation and analysis. • Relevant foundations that are helpful include:
    • Prior cost estimation experience for DoD, IC, or other government agency
    • Analytics background, such as operations research or statistics
    • Familiar with Excel formulas, statistical features, and macros
    • VBA coding behind Excel is a big plus
    • Python and/or R coding for statistics is a big plus
    • Acquisition or contract management background
    • Aerospace background
    • Coding & Machine Learning (ML) - this is a new area the customer is looking to leverage to improve its existing cost estimation models and tools
    • ML experience in Python and/or R for regression and classification data is preferred here
    • SQL database query skills are beneficial • Natural Language Processing (NLP) for text search/matching and analysis, since a lot of the contract data and deliverables are text-based
    • Another useful skillset is importing/exporting data to Excel using Python or R, as well as sending data from a SQL database to Tableau
    • Earned Value Management (EVM) / Integrated Performance Management (IPM)
    • Prior EVM or IPM experience is beneficial here
    • Statistics, analytics, and coding are similarly helpful for this career track Qualifications:
    • Minimum of 11-16 years' experience with a Bachelor's Degree
    • Apply principles, theories and methods of cost estimation to complex Government acquisitions
    • Develop cost estimating relationships through the application of advanced statistical analysis techniques
    • Ability to collect and normalize data and design cost estimating methods and models
    • Develop life-cycle cost estimates using a variety of methods (e.g. parametric, analogy, etc)
    • Experience leading life-cycle cost estimates for major system acquisitions
    • Ability to identify key cost and technical risk areas, and translate the risk areas into program cost impacts
    • Proficient with the application of Monte Carlo simulation techniques
    • TS/SCI clearance Desired:
    • Master's Degree in Engineering, Physics, Operations Research, Cost Analysis, Mathematics, Finance, Economics, Business Administration or related disciplines
    • Cost estimating experience in the following domain areas:
    • Space hardware (bus and payload)
    • Space systems (e.g. NASA/Air Force, NRO, Commercial)
    • Launch systems
    • Ground systems (e.g. mission management, command and control, mission processing, ground terminals, communications networks, data centers)
    • Software cost estimating
    • Parametric and analogy based estimating
    • Data collection and normalization
    • Model development
    • Method development (e.g. multivariate regression analysis, Monte Carlo simulation, cost improvement curve analysis)
    • Technical understanding of satellite systems
    • Experience using risk analysis software (e.g. @Risk, Crystal Ball)
    • Experience using statistical analysis software (e.g. SAS, SPSS, etc)
    • ICEAA certification; either Certified Cost Estimator/Analyst (CCEA)
  • Job Description

    Cost Analyst Chantilly, VA TS/SCI CI Poly The Senior Cost Analyst provides knowledge and expertise applying principles, theories and methods of cost estimation and analysis. • Relevant foundations that are helpful include:
    • Prior cost estimation experience for DoD, IC, or other government agency
    • Analytics background, such as operations research or statistics
    • Familiar with Excel formulas, statistical features, and macros
    • VBA coding behind Excel is a big plus
    • Python and/or R coding for statistics is a big plus
    • Acquisition or contract management background
    • Aerospace background
    • Coding & Machine Learning (ML) - this is a new area the customer is looking to leverage to improve its existing cost estimation models and tools
    • ML experience in Python and/or R for regression and classification data is preferred here
    • SQL database query skills are beneficial • Natural Language Processing (NLP) for text search/matching and analysis, since a lot of the contract data and deliverables are text-based
    • Another useful skillset is importing/exporting data to Excel using Python or R, as well as sending data from a SQL database to Tableau
    • Earned Value Management (EVM) / Integrated Performance Management (IPM)
    • Prior EVM or IPM experience is beneficial here
    • Statistics, analytics, and coding are similarly helpful for this career track Qualifications:
    • Minimum of 11-16 years' experience with a Bachelor's Degree
    • Apply principles, theories and methods of cost estimation to complex Government acquisitions
    • Develop cost estimating relationships through the application of advanced statistical analysis techniques
    • Ability to collect and normalize data and design cost estimating methods and models
    • Develop life-cycle cost estimates using a variety of methods (e.g. parametric, analogy, etc)
    • Experience leading life-cycle cost estimates for major system acquisitions
    • Ability to identify key cost and technical risk areas, and translate the risk areas into program cost impacts
    • Proficient with the application of Monte Carlo simulation techniques
    • TS/SCI clearance Desired:
    • Master's Degree in Engineering, Physics, Operations Research, Cost Analysis, Mathematics, Finance, Economics, Business Administration or related disciplines
    • Cost estimating experience in the following domain areas:
    • Space hardware (bus and payload)
    • Space systems (e.g. NASA/Air Force, NRO, Commercial)
    • Launch systems
    • Ground systems (e.g. mission management, command and control, mission processing, ground terminals, communications networks, data centers)
    • Software cost estimating
    • Parametric and analogy based estimating
    • Data collection and normalization
    • Model development
    • Method development (e.g. multivariate regression analysis, Monte Carlo simulation, cost improvement curve analysis)
    • Technical understanding of satellite systems
    • Experience using risk analysis software (e.g. @Risk, Crystal Ball)
    • Experience using statistical analysis software (e.g. SAS, SPSS, etc)
    • ICEAA certification; either Certified Cost Estimator/Analyst (CCEA)
  • ABOUT THE COMPANY

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