Operations Research Analyst

Operations Research Analyst

Bengaluru (hybrid flex)

2 - 4 years in analytics/OR/optimization

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.