Operations Research Analyst
3 days ago
Position:
Operations Research Analyst
Location:
Bengaluru (hybrid flex)
Experience:
2 - 4 years in analytics/OR/optimization
Education:
Master's or Bachelor's in Operations Research, Industrial Engineering, Applied Math, Statistics, Computer Science or related.
Key Responsibilities:
- Collaborate with cross-functional teams to define business problems and translate them into quantitative models (e.g., optimization, simulation, forecasting).
- Extract, clean and analyse large datasets; identify key drivers, bottlenecks and opportunities for process improvement.
- Develop mathematical/OR models (e.g., linear programming, integer programming, simulation) to support decision-making (resource allocation, scheduling, supply-chain, manufacturing).
- Implement and validate model prototypes; run what-if or sensitivity analyses and present actionable recommendations to stakeholders.
- Monitor model performance, track outcomes, and iteratively refine models; document assumptions, methods and results for business users.
- Communicate complex analytical results in clear, non-technical language; create dashboards or visualizations to track key metrics and business impact.
Key Skills & Qualifications:
- Solid programming/statistical skills in e.g., Python, R, MATLAB, or similar.
- Experience with optimisation solvers/tools (e.g., CPLEX, Gurobi, or open-source equivalents) and simulation packages.
- Strong SQL/database skills; experience working with large datasets and extracting insights.
- Good understanding of operations research techniques (e.g., linear/integer programming, simulation, queues, network flows).
- Ability to translate business questions into modelling frameworks and present results credibly to business and technical stakeholders.
- Comfortable working in a dynamic environment, collaborating across teams, and managing ambiguity.
Preferred:
- Experience in manufacturing/operations/supply-chain domain is a plus.
- Prior exposure to dashboarding tools (e.g., PowerBI, Tableau) will be beneficial.
- Some exposure to "end-to-end" solution deployment (data through to insights) would be valued.
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