Data Analyst - Supply Chain (IN)
Core
Develop, maintain, and apply supply chain network models to transform complex data into actionable insights for strategic and operational decision-making.
Role type
Supply Chain Network Modeler
Builds
Scalable network models, reusable analysis templates, and standardized dashboards for supply chain optimization.
Domain
Supply Chain / Operations Research
Deliverable
production ML models | dashboards & analysis
Required skills
Network modeling, optimization techniques, scenario analysis, data validation, dashboard creation, documentation, statistical analysis, Python, SQL, R, SAS, Databricks, ERP/WMS/TMS integration, cost-to-serve analysis, capacity planning.
Preferred skills
Llamasoft/Coupa, AnyLogistix, OptiLogic, Lean, Six Sigma, machine learning algorithms, big data frameworks (Hadoop MapReduce, Spark), Java, multivariate testing, forecasting.
Responsibilities
Develop end-to-end supply chain network models covering facilities, flows, transportation, and inventory; translate business problems into quantitative scenarios; partner with cross-functional teams to scope opportunities and validate inputs; create interactive dashboards and visualizations; document modeling assumptions and methodologies; maintain data models and datasets; contribute to modeling best practices and training materials.
Seniority
Mid-level, hands-on IC
