Senior Specialist I, Business Analytics
Core
Turn complex supply-chain data into decisions to keep critical parts available, improving inventory, cost, and lead-time performance for semiconductor equipment customers.
Role type
Senior Specialist I, Business Analytics (Supply Chain)
Builds
Forecasting, inventory, capacity, and optimization models for spare parts supply chain
Domain
Semiconductor equipment supply chain and logistics
Deliverable
production ML models
Required skills
Demand forecasting, inventory planning, safety stock, reorder policies, supply and capacity planning, lead-time analysis, logistics-cost analysis, SQL, Python or R, Power BI, ERP (SAP), ETL/ELT, data quality management
Preferred skills
Intermittent-demand techniques (Croston, SBA, TSB), optimization techniques (linear programming, mixed-integer programming, network optimization, simulation, constraint programming), analytical libraries (pandas, scikit-learn, statsmodels, XGBoost, OR-Tools, PuLP, Pyomo), enterprise data platforms (Databricks, Azure Data Factory, Azure Synapse)
Responsibilities
Develop demand forecasts using historical data and business drivers; Apply statistical and machine-learning methods to intermittent and seasonal demand; Build and evaluate forecast scenarios; Translate forecasts into purchasing and inventory recommendations; Design inventory policies balancing availability and cost; Segment inventory by value, variability, and risk; Analyze bottlenecks and anticipate risks to customer commitments; Develop allocation and optimization models; Run what-if scenarios for disruptions; Analyze end-to-end lead time and logistics cost; Collaborate on dashboards and early-warning solutions; Track results of implemented recommendations
Seniority
Senior, hands-on IC
