Operations Research Analyst

Job Descripion : We are looking for an Operations Research Analyst (1–3 years experience) from IIT to join our product and engineering team. This role is designed for candidates from premier institutes (IITs or equivalent) who have studied Operations Research and have hands-on exposure to working in or with software companies. You will help us translate complex business processes into intelligent ERP workflows , ensuring that optimization, forecasting, and efficiency are baked into our product architecture. Why Operations Research Matters in ERP ERP software is more than record-keeping — it is the decision backbone of enterprises . Operations Research (OR) methods bring mathematical rigor and optimization to this backbone. Optimization models power decisions in inventory, workforce planning, routing, and scheduling. Stochastic models help ERP systems manage uncertainty in demand, lead times, and costs. Simulation and “what-if” analysis enable clients to evaluate scenarios before taking action. Forecasting & analytics ensure ERP systems predict, not just record. By embedding OR principles into ERP systems, we don’t just digitize processes — we deliver smarter, faster, and more resilient enterprises . Key Responsibilities Analyze client business processes (Payroll, Aviation, HRP, Supply Chain) and translate them into software actions and algorithms . Design and apply OR techniques (linear/integer programming, simulation, forecasting, decision models) within ERP modules. Apply OR techniques (linear/integer programming, stochastic modelling, forecasting, simulation) to enhance ERP capabilities. Code optimization logic directly into Ramco’s in-memory platform (Minnal) to deliver real-time decision support. Build and test scalable code for scheduling, planning, forecasting, and anomaly detection. Partner with product managers and engineers to build optimization engines that improve efficiency and reduce costs for clients. Develop what-if scenarios, predictive dashboards, and simulation-based insights to embed intelligence into ERP workflows. Act as a bridge between business logic and technical implementation , ensuring solutions are both mathematically robust and business relevant. Support ongoing research into next-gen ERP capabilities (AI/ML-enabled optimization, in-memory computing, anomaly detection). Ideal Profile Education: B.Tech / M.Tech from IITs (or equivalent premier institutes). Coursework in Operations Research / Industrial Engineering / Quantitative Techniques is a must. Experience: 1–3 years in a software product company, IT consulting, or analytics environment . Strong foundation in optimization, simulation, forecasting, and data-driven decision-making . Familiarity with SQL, Python, R, or optimization tools (CPLEX, Gurobi, LINGO, or open-source solvers) is an advantage. Ability to connect business processes with software workflows , simplifying complex problems for real-world impact. Strong communication skills — able to explain technical models to non-technical stakeholders. What We Offer A platform to apply OR in live ERP environments — where your models move from classroom to boardroom. Exposure to global enterprise clients across multiple industries (aviation, payroll, HR, supply chain). Collaborative work with cross-functional teams — product, engineering, delivery. Growth opportunities in a company where research meets execution .

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