Amazon Analytics Data Engineer Infra-Finance Business 

United States, Washington, Seattle 

358070144

In this role, you will support inventory management innovation, Inventory Planning roadmap and system improvements to automate worldwide inventory management, and identify and drive long term free cash flow opportunities.Key job responsibilities
In this role you will…• Collaborate with and influence a wide set of stakeholders, providing thought leadership, product expertise, and business insight.
• Own and execute inventory guidance planning cycles, as inputs into global Amazon financial plans and network plans
• Work across AIM Planning, PMs, Engineers, Scientists, Finance, and SCOT teams to deliver the Inventory Planning BIE Roadmap.
• Dive deep to create insights on how well Amazon is taking care of the customer as it relates to product availability and inventory levels
• Drive changes through insights to improve a wide range of internal products that impact planning, buying and sourcing.
• Develop improvements and invent new ways to look at / trends via an internal worldwide customer portal.
• Interface with cross-functional teams to build centralized tools that will allow for rapid defect detection and repair.
• Partner with Engineers and Software Engineers to design products and systems to transform and store billions of items using AWS redshift
• Explore/analyze and work with Product Managers to understand customer behaviors, spot system defects, and benchmark our ability to serve our customers
• Design and implement technical solutions with an appropriate analytics strategy and data set design; make technical trade-offs for long-term / short-term needs; and drive best practices in operational excellence, data modelling, and analysis.

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling