Sr Bie, Nonsort, Supply Chain Execution

Amazon Amazon · Big Tech · Austin, TX · Business Intelligence

This role focuses on building and maintaining metrics, creating analytical tools, and driving strategy improvements through data modeling and analysis within Amazon's Supply Chain Placement team. It involves collaboration with various teams to optimize product spread, enhance selection, and reduce delivery distances. The role requires strong analytical skills, experience with large datasets, statistical analysis, and automation, with a focus on improving supply chain efficiency and cost.

What you'd actually do

  1. Build and maintain metrics to evaluate and enhance Inventory Placement’s systems.
  2. Create analytical tools and processes to accelerate insights and automation.
  3. Drive placement strategy improvements using data modeling and analysis to optimize product spread across Amazon facilities, enhancing selection and reducing customer delivery distance.
  4. Collaborate with technology teams to define key priorities to accommodate growing business needs and implement recommendations through new features and/or configurations.
  5. Research, develop, document and present new opportunities to all levels of Supply Chain, Finance, Fulfilled By Amazon (FBA) and Retail leadership.

Skills

Required

  • SQL
  • ETL
  • Oracle
  • Data Warehousing
  • Statistical Analysis
  • Data Modeling
  • Automation Scripting (Python)
  • AWS Technologies
  • Information Retrieval
  • Data Science
  • Machine Learning
  • Data Mining
  • Design of Experiments

Nice to have

  • Business Stakeholder Translation
  • Senior Leadership Communication

What the JD emphasized

  • 10+ years of professional or military experience
  • 5+ years of SQL experience
  • 1+ years of SQL, ETL or Oracle experience
  • 1+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 1+ years of performing statistical analysis experience
  • 1+ years of developing automated reporting experience
  • Experience programming to extract, transform and clean large (multi-TB) data sets
  • Experience with theory and practice of design of experiments and statistical analysis of results
  • Experience with AWS technologies
  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.
  • Experience with theory and practice of information retrieval, data science, machine learning and data mining