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You will be working with stakeholders from Pricing Program to contribute to Amazon’s Pricing strategies, partnering with Vendor and Inventory managers to help improve product cost structures, supporting the marketing team to build their strategies by using extremely large volumes of complex data. You will be exploring datasets, writing complex SQL queries, building data pipelines and data visualization solutions with AWS Quicksight. You will be also building new Machine Learning models to predict the outcomes of key inputs.Key job responsibilities
This role does include periodic reporting responsibilities, but it’s really much more diverse than that. If this role is right for you, you will enjoy the challenge of pivoting between ad-hoc pieces of analysis, reporting enhancement, new builds as well as working on long-term strategic projects to enhance the BI & Analytics capabilities in Amazon.
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
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