Intermediate Operations Research Analyst

CGI•Aberdeen, MD

13d•Onsite

About The Position

CGI Federal is seeking an Operations Research Analyst (Intermediate) to perform complex analytical assessments using advanced mathematical, statistical, and computational methods to support decision-making across a Next Generation Command and Control (NGC2) program for the US Army. This role helps government and program leaders investigate complex problems, evaluate alternatives, optimize processes, and improve operational effectiveness. The analyst may lead small teams, brief senior government clients, and work independently on challenging analytical tasks with significant program impact. This position is ideal for someone who excels in quantitative problem-solving and enjoys delivering actionable insights in a dynamic Defense environment. This position is located in Aberdeen, MD.

Requirements

MA/MS/MBA from an accredited college or university in Operations Research, Management Science, Analytics, Mathematics, Engineering, Computer Science, or other quantitative/technical field
Six additional years of experience plus a BA/BS may substitute for the degree requirement
Ten years of relevant experience may substitute for the degree entirely
6+ years of experience in data analytics, operations research, or quantitative analysis
At least 5 years in a supervisory or lead analytical capacity
Experience performing advanced mathematical or statistical analyses in a DoD environment is strongly preferred
Proficiency with analytical tools such as R, Python, MATLAB, SAS, or optimization/modeling software
Strong understanding of statistics, linear programming, simulation, forecasting, or cost modeling
Ability to develop, validate, and interpret analytical models and complex data sets
Excellent problem-solving and quantitative reasoning skills
Ability to work under limited supervision and manage analytical tasks independently
Strong communication skills for presenting results to senior stakeholders
Ability to lead small teams and provide analytical direction

Nice To Haves

Experience supporting command-and-control, sustainment, readiness, or modernization programs
Familiarity with Defense decision-making processes, JCIDS, or acquisition logistics
Experience with data visualization platforms (Power BI, Tableau, Qlik)
Familiarity with simulation software (Arena, AnyLogic, ExtendSim)
Experience with machine learning or advanced analytics techniques
Certified Analytics Professional (CAP)
Lean Six Sigma Green/Black Belt
Defense Acquisition University (DAU) coursework related to analysis or systems engineering
Ability to prepare executive-level decision briefings and white papers
Experience developing analytical frameworks for multi-criteria decision making
Strong organizational skills and ability to manage multiple analytical tasks simultaneously

Responsibilities

Perform complex analyses using operations research, mathematical modeling, simulation, and data analytics
Investigate complex technical or operational issues and provide structured, data-driven recommendations
Use statistical, optimization, and decision-science tools to support program leadership decisions
Identify root causes of program challenges and develop feasible, cost-effective solutions
Evaluate alternatives and recommend optimal courses of action using quantitative techniques
Support scenario analysis, risk evaluations, and performance trade studies
Study processes, workflows, and systems to identify improvement opportunities
Analyze the impact of new concepts, modernization initiatives, or operational changes
Support modeling of system behavior, resource usage, and performance metrics
Prepare technical briefings, reports, and decision products for government/client personnel
Communicate findings clearly to both technical and non-technical stakeholders
Participate in meetings, IPTs, and cross-functional analytical reviews
May lead or supervise small teams of operations analysts conducting analytical tasks
Provide analytical guidance and mentorship to junior analysts
Ensure analytical tasks meet quality, rigor, and documentation standards