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Operations Research Analyst

2 months ago


Aberdeen Proving Ground, Maryland, United States MAXISIQ, Inc. Full time
About the Role

MAXISIQ, Inc. is seeking a highly experienced Operations Research Analyst to support mission planning and address operational challenges. The ideal candidate will have a proven track record of using advanced operations research techniques to support high-level decision-making in the defense industry.

Key Responsibilities
  • Lead Advanced Mathematical Modeling: Develop and apply advanced mathematical models, simulations, and quantitative techniques to solve complex defense-related problems.
  • Analyze Large Datasets: Analyze large datasets related to military operations, logistics, personnel, and resources to identify trends, inefficiencies, and areas for improvement.
  • Provide Expert Recommendations: Provide expert-level recommendations for optimizing the use of military resources, including personnel, equipment, and budget, ensuring operational effectiveness and cost-efficiency.
  • Conduct Cost-Benefit Analysis: Conduct in-depth cost-benefit analysis to support decision-making and strategic planning for defense initiatives.
  • Deliver Expert Analytical Support: Deliver expert analytical support to senior defense leadership, providing actionable insights for mission-critical decisions.
  • Develop Decision-Support Tools: Develop decision-support tools such as models, dashboards, and reports that help leadership visualize data and make informed decisions regarding defense strategies and resource allocation.
  • Apply Advanced Operations Research Techniques: Apply advanced operations research techniques to tackle complex defense challenges such as mission planning, logistics optimization, integrated weapons systems, and combat operations.
  • Enhance Operational Efficiency: Provide detailed recommendations on how to enhance the efficiency of operations, reduce costs, and improve overall mission success rates.
  • Perform Risk Assessments: Perform in-depth risk assessments for various defense operations, programs, and strategic initiatives, including scenario analysis to predict the potential outcomes of different courses of action.
  • Evaluate Emerging Technologies: Use forecasting and predictive analytics to evaluate the potential impact of new technologies, systems, or defense strategies on military operations.
  • Collaborate with Cross-Functional Teams: Collaborate with cross-functional teams, including engineers, program managers, military personnel, and policymakers, to ensure that analytical findings are aligned with operational objectives.
  • Mentor Junior Analysts: Provide mentorship and guidance to junior operations research analysts, fostering a culture of data-driven decision-making and continuous improvement.
  • Develop Operational Strategies: Assist in developing policies and operational strategies for defense programs, ensuring they are based on robust analytical frameworks.
Requirements
  • Clearance Requirement: Active or current Secret level clearance minimum
  • Experience: Recognized industry leader with a proven track record of using advanced operations research techniques to support high-level decision-making in the defense industry.
  • Expertise: Expertise in mathematical modeling, statistical analysis, and quantitative techniques such as linear programming, simulation, and optimization.
  • Analytical Tools: Proficiency in analytical tools such as MATLAB, R, Python, or similar platforms, with experience using tools like Power BI, Tableau, or Excel for data visualization.
  • Communication Skills: Exceptional written and verbal communication skills, with the ability to present complex analysis and findings to senior leadership.
  • Leadership Experience: Experience leading analytical teams or mentoring junior analysts in best practices for data analysis and operations research.
  • DoD Knowledge: Extensive knowledge of defense operations, defense acquisition processes, and military logistics.
  • Certifications: Certifications such as Certified Analytics Professional (CAP), Lean Six Sigma, or Project Management Professional (PMP) are preferred.