Supply Chain Analytics Specialist

Boeing Boeing · Aerospace · Irving, TX

This role focuses on supply chain analytics, inventory health, and Material Requirements Planning (MRP). It involves coordinating with program management and finance, collaborating with supply chain and engineering teams, and utilizing data analytics tools like Python, R, and Tableau for process automation and performance tracking. The role also involves applying Lean Six Sigma principles and predictive analysis for supplier performance and lead time forecasting.

What you'd actually do

  1. Responsible for the inventory health across the global distribution network for stocked parts.
  2. Management Material Requirements Planning (MRP) capabilities related to inventory balancing and replenishment for stocked and non-stocked parts.
  3. Coordinate with program management and finance to ensure alignment between inventory plans and business/financial performance goals.
  4. Collaborate across the supply chain team and technical engineering communities to leverage insights for supportability and planning strategies.
  5. Partner with Customer Program Managers and utilize customer relationships to gather intelligence for demand planning.

Skills

Required

  • Master’s degree or foreign equivalent in Supply Chain Management, Computer Science, Industrial Engineering or a related field
  • 5 years of experience as a Supply Chain Analytics Specialist or related occupation
  • 5 years of experience managing global supply chain operations within the aerospace hardware and service parts industry
  • 5 years of experience utilizing Enterprise Resource Planning tools including SAP, SPM, and JDA for inventory management
  • 5 years of experience utilizing SAP, SPM, and JDA for inventory planning, demand forecasting, and replenishment strategies
  • Experience applying Lean Six Sigma principles (DMAIC, root cause analysis)
  • Experience utilizing data analytics tools (Python, R, Tableau)
  • Experience conducting demand reviews using Time series forecast algorithms
  • Experience generating supply plans based on multi-echelon inventory principles
  • Experience utilizing predictive analysis for suppliers' performance evaluation and lead time forecast modeling

Nice to have

  • Domestic travel up to 20%

What the JD emphasized

  • Requires a Master’s degree or foreign equivalent in Supply Chain Management, Computer Science, Industrial Engineering or a related field, and at least five (5) years of experience as a Supply Chain Analytics Specialist or related occupation, as well as five years of experience in each of the following:
  • Experience with managing global supply chain operations within the aerospace hardware and service parts industry;
  • Experience with utilizing Enterprise Resource Planning tools including SAP, SPM, and JDA for inventory management of stocked and non-stocked parts;
  • Experience with utilizing SAP, SPM, and JDA for inventory planning, demand forecasting, and replenishment strategies;
  • Experience in applying Lean Six Sigma principles—including DMAIC and root cause analysis—to identify and resolve inefficiencies in forecasting and inventory workflows;
  • Experience in applying Lean Six Sigma principles including root cause analysis and DMAIC in supply chain management;
  • Experience with utilizing data analytics tools including Python, R, and Tableau for performance tracking and process automation;
  • Experience in conducting demand reviews utilizing Time series forecast algorithms to finalize demand forecasts, incorporating market inputs;
  • Experience in generating supply plans based on multi-echelon inventory principles aligned with target service levels;
  • Experience with utilizing predictive analysis for suppliers' performance evaluation and lead time forecast modeling.