
Data Driven Decision Maker
3 days ago
We are seeking a highly skilled Operations Research Analyst to join our team.
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:
- Bachelor's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Computer Science, or a related quantitative field.
- 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.
As an Operations Research Analyst, you will have the opportunity to work on complex problems and develop innovative solutions.
The ideal candidate will have a strong background in operations research, industrial engineering, or a related field, as well as excellent analytical, communication, and problem-solving skills.
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