Business Intel Engineer III, IPC Simulation Analytics
Amazon - Bellevue, WA
posted 5 months ago
About the position
The Business Intelligence Engineer III position within the IPC Simulation Analytics team at Amazon is a critical role that focuses on solving real-world problems through the analysis of large datasets. This position is situated in the Amazon Global Supply Chain Optimization organization, specifically within the Supply Chain Optimization Technologies (SCOT) division. The IPC Sim team is responsible for one of the largest supply chain simulation systems globally, which predicts inventory flows for millions of items available on Amazon.com. The role involves utilizing advanced analytical techniques to enhance inventory planning, which includes determining optimal quantities, frequencies, and vendor assignments for inventory purchases, as well as selecting the best warehouses to meet customer demand. This optimization is essential for maximizing Amazon's long-term free cash flow. As a Business Intelligence Engineer, you will engage in designing simulations and experiments that help in understanding the dynamics of inventory management. You will work with algorithms that simulate inventory flows and operational metrics, enabling data-driven decision-making across Amazon's supply chain systems. The successful candidate will thrive in a fast-paced environment that leverages statistics, machine learning, operations research, and econometrics to drive business insights and improvements. The role requires collaboration with various teams, including business, software, and research, to define new metrics and business cases. You will be expected to extract, transform, and clean large datasets, utilizing your expertise in SQL and programming languages such as Python. The position also involves communicating analytical results to senior leadership and translating complex data findings into actionable business strategies. This is an exciting opportunity to contribute to Amazon's supply chain efficiency and effectiveness, impacting millions of customers worldwide.
Responsibilities
- Analyze large amounts of business data to solve real-world problems.
- Define new metrics and business cases for inventory management.
- Design simulations and experiments to predict inventory flows.
- Create models that support decision-making in supply chain operations.
- Collaborate with business, software, and research teams to enhance analytical capabilities.
- Extract, transform, and clean large datasets for analysis.
- Communicate analytical results and insights to senior leadership.
Requirements
- 10+ years of professional or military experience.
- 5+ years of SQL experience.
- Experience programming to extract, transform, and clean large (multi-TB) data sets.
- Experience with the 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 information retrieval, data science, machine learning, and data mining.
Nice-to-haves
- Experience working directly with business stakeholders to translate between data and business needs.
- Experience managing, analyzing, and communicating results to senior leadership.
- Master's degree in statistics, data science, or an equivalent quantitative field.
- Knowledge of data warehousing and data modeling.
Benefits
- Full range of medical benefits
- Financial benefits including equity and sign-on payments
- Comprehensive employee benefits package
