
Operations Research Analyst
Missile Defense AgencyThe position(s) covered by this vacancy announcement is in the Department of Defense (DoD) Acquisition Workforce Personnel Demonstration Project (AcqDemo). For more information please see: AcqDemo This position is part of a planned Transfer of Function (TOF) from the Missile Defense Agency to the Department of the Army. This action is projected to be effective on or about October 1, 2026This is a Direct Hire Authority (DHA) solicitation utilizing the DHA for Acq Demo Business and Technical Management to recruit and appoint qualified candidates to positions in the competitive service. As an Operations Research Analyst at the NH-1515-2/3 broadband level some of your typical work assignments may include: NH-03 level duties: Develop, update, maintain, and document credible, accurate, and comprehensive Life Cycle Cost Estimates (LCCEs), Program Office Estimates (POEs), and Independent Government Cost Estimates (IGCEs) Participate as a member of an Integrated Product Team (IPT) or program office to generate cost-related products in support of acquisition milestones, contract actions, budgets, trades and other key program decision points to execute the organization's mission Support cost trade analyses (e.g. what-if drills, business case analysis, cost benefit analysis, economic analysis, cost as an independent variable, architecture trades, design to cost, and analysis of alternatives) Perform analysis to help leadership make informative decisions concerning cost, budget, and schedule over the lifecycle of acquisition programs Provide cost estimating and analysis products and instructions in support of Request for Proposal (RFP) actions through post-contract award activities. Participate in source selections/proposal evaluations to evaluate risk, reasonableness, and realism Develop standardized, product-oriented Work Breakdown Structures (WBS), Cost Element Structures (CES), data collection plans, Contract DataRequirements Lists (CDRLs), Data Item Descriptions (DIDs), and cost reporting award fee criteria Assist in the development and review of Cost AnalysisRequirements Descriptions (CARDs) Collect, review, analyze, document, and store cost data and related program, schedule, and technical data in organization's database and library, including Contract Performance Reports and Cost & Software Data Reports Develop, apply, and document appropriate cost estimating and analysis methodologies, utilizing techniques such as linear and non-linear regression to determine cost estimating relationships(CERs) Develop, update, and maintain cost models capable of providing timely, credible, accurate, comprehensive, and documented program life cycle cost estimates Generate alternative methodologies and cross-checks to validate primary cost estimate Conduct sensitivity, risk, and uncertainty analysis Document cost estimates including therequirements, steps, data sources, assumptions, methodologies, risk and uncertainty analysis, sensitivity analysis, and outputs t
Opens the company's application page
Listed via
USAJobs
usajobs.gov
Similar roles

Senior Data Analyst
Harnham - Data & Analytics Recruitment

Data Analyst
Harnham - Data & Analytics Recruitment

Service Charge Data Analyst
Robertson Bell
Data Analyst
R3vamp Limited
Design & Tech
Related reads from TCHNX

Why AI Design Tools Are Quietly Replacing Junior Designers and What Actually Comes Next
AI tools promise efficiency, but London studios are discovering an unexpected paradox: automation creates new bottlenecks requiring precisely the expertise being eliminated. We investigate what's actually happening to entry-level design work.

The Inference Economy: Why AI’s Biggest Cost Shift Is Happening After Training
A major shift in AI economics is reshaping the industry. As training frontier models becomes more expensive and inference becomes dramatically cheaper, companies are being forced to rethink how they build, deploy, price, and monetise intelligent systems.

The Emergence of Small Language Models: Why Efficiency Is Overtaking Scale
As the AI industry confronts computational costs and environmental concerns, a new generation of compact models is proving that bigger isn't always better. Small language models are reshaping enterprise AI deployment.