Operations Research Analyst

Akiak Enterprise ServicesPatuxent River, MD
Hybrid

About The Position

The Operations Research Analyst uses advanced analytical methods—including mathematical modeling, statistics, optimization, simulation, and data analysis—to help organizations solve complex problems and make better decisions. They work closely with cross-functional teams to analyze operations, identify inefficiencies, and recommend data-driven solutions that improve performance, reduce costs, and enhance strategic outcomes.

Requirements

  • U.S. Citizenship
  • Secret Clearance
  • 3-7 Years of Experience Required (for Journeyman)
  • Bachelor’s or Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Computer Science, or a related quantitative field.
  • Strong foundation in mathematical modeling, linear programming, optimization, and statistics.
  • Proficiency with analytics tools such as Python, R, MATLAB, SAS, or similar.
  • Experience with data visualization tools (e.g., Power BI, Tableau).
  • Ability to translate complex analytical findings into clear recommendations.
  • Strong problem-solving, critical thinking, and communication skills.

Nice To Haves

  • Experience working in fields such as supply chain, logistics, manufacturing, finance, or healthcare, depending on industry.
  • Familiarity with machine learning techniques for predictive analytics.
  • Experience implementing simulation models (e.g., using Arena, AnyLogic).
  • Knowledge of database systems and SQL.

Responsibilities

  • Analyze operational challenges and identify areas for improvement using quantitative and qualitative methods.
  • Develop mathematical or simulation models to evaluate potential solutions and predict outcomes.
  • Apply optimization, forecasting, and statistical techniques to support decision-making.
  • Collect, clean, and analyze large datasets from multiple internal and external sources.
  • Evaluate alternative solutions by assessing cost, efficiency, risk, and impact.
  • Communicate findings and recommendations to stakeholders through reports, presentations, and data visualizations.
  • Build dashboards and analytical tools to support ongoing operational insights.
  • Stay current with new analytical methods, software, and industry trends.
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