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Amazon SCOT OIH (Supply Chain Optimization Technology - Optimal Inventory Health) team owns inventory health management for Retail worldwide. We use a dynamic programming model to maximize the net present value of inventory driving actions such as pricing markdowns, deals, removals, coupons etc.
- Building and maintaining modular, scalable data models that provide the generality, flexibility, intuitiveness, and responsiveness required for seamless self-service insights.
- Generating deeper insights that drive competitive advantage using statistical modeling and machine learning.Key job responsibilities
- Translating the business requirements to structured BI solutions.
- Designing and implementing BI technical solutions with the appropriate analytics strategy and data set design.
- Implementing data pipeline for Insights generation.- Structuring large scale, complex analysis and performing the analysis to generate insights.
Bellevue, WA, USA
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience writing complex SQL queries
- 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
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