
Operations Analyst - Defense Analytics DARPA
Chimera Enterprises International
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Job overview
Chimera Enterprises International is hiring an Operations Analyst - Defense Analytics DARPA. The Operations Research Analyst will provide quantitative decision support for defense research and development activities. This role involves applying analytical methods and modeling to inform financial, operational, and transition-related decisions. The analyst will support budget analysis, execution profiles, and trade-off scenarios, developing data-driven insights for planning, resource allocation, and execution monitoring. They will also analyze operational data to understand workload and performance, creating metrics and decision-support tools.
Key focus areas include Use quantitative techniques to help leadership understand and manage complex programs, Support analysis of budget plans, execution profiles, and trade-off scenarios, and Work with financial and program management staff to develop data-driven insights.
Successful candidates bring Bachelor's Degree In Engineering/Science/Mathematics, 4+ Years Operations Research Experience, and Active Top Secret Clearance. Important skills include Quantitative Techniques, Statistics, Modeling, Performance Optimization, Translate Complex Analytic Findings, and MATLAB. Preferred (not required): R, Defense Planning, Programming, and Budgeting.
Skills & qualifications
Skills
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Full job description
Job Summary
We are seeking Operations Research Analysts to provide quantitative decision support for a portfolio of defense research and development activities. These Key Personnel roles apply analytical methods and modeling to inform financial, operational, and transition‑related decisions across the organization.
Key Responsibilities (Narrative)
As an Operations Research Analyst, you will use quantitative techniques to help leadership understand and manage complex programs. You will support analysis of budget plans, execution profiles, and trade‑off scenarios, helping to illuminate the implications of different funding and scheduling options. You will work with financial and program management staff to develop data‑driven insights that support planning, resource allocation, and execution monitoring.
You will also analyze operational and tasking data to understand workload, throughput, and performance. By developing metrics, visualizations, and decision‑support tools, you will help leadership see where processes are working well and where adjustments may be needed. Your work will often involve pulling together information from multiple sources, structuring it for analysis, and presenting clear, actionable findings.
In support of acquisition and transition activities, you will examine lifecycle and performance data to identify trends and potential areas for improvement. You may help assess how programs progress from early research through transition, applying quantitative methods to evaluate options, risks, and likely outcomes. Throughout, you will collaborate closely with program managers, acquisition analysts, financial analysts, and other stakeholders to ensure that analytic products are aligned with real‑world needs and are delivered in a format that supports effective decision‑making.
Qualifications and Requirements
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Education:
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Bachelor’s degree in engineering, science, mathematics, or a related technical field.
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Experience:
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At least 4 years of experience in operations research or a closely related analytical discipline supporting large organizations.
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Experience gathering data and constructing mathematical or statistical models to describe systems and support decisions.
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Security Clearance:
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Active Top Secret (TS) clearance required.
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Skills:
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Strong quantitative and analytical skills, including statistics, modeling, and/or optimization.
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Proficiency in Microsoft Excel and familiarity with one or more analytical tools (e.g., MATLAB, R, Python) is highly desirable.
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Ability to translate complex analytic findings into clear, concise briefings and written products.
Preferred Qualifications
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Experience supporting Department of Defense financial, acquisition, or R&D organizations.
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Familiarity with defense planning, programming, budgeting, and execution (PPBE) processes and related data.
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