Operations Research Analyst

Key Responsibilities:

• Develop and apply mathematical models, simulations, and optimization algorithms to improve operational processes.
• Analyze large datasets to identify trends, inefficiencies, and opportunities for improvement.
• Design and implement decision-support tools for inventory management, resource allocation, scheduling, and routing.
• Collaborate with cross-functional teams (engineering, IT, finance, logistics) to translate business problems into analytical frameworks.
• Conduct scenario analysis, risk assessment, and cost-benefit evaluations for proposed solutions.
• Present findings and recommendations to stakeholders through reports, dashboards, and presentations.
• Stay updated on emerging trends in operations research, machine learning, and AI applications in optimization.

Qualifications & Skills:

Education:

• Bachelor's in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Computer Science, or a related quantitative field.

Experience:

• 3 years of experience in operations research, management science, or data-driven decision-making.
• Proficiency in optimization software (e.g., CPLEX, Gurobi, AMPL) and programming (Python, R, MATLAB, SQL).
• Familiarity with simulation tools (Arena, Simio, AnyLogic) and machine learning techniques is a plus.
• Experience in industries like logistics, manufacturing, healthcare, or finance is preferred.

Soft Skills:

• Strong problem-solving and critical-thinking abilities.
• Excellent communication skills to explain technical concepts to non-technical stakeholders.
• Ability to work independently and in collaborative environments.