Join us as we reinvent the books purchase experience of millions of customer across worldwide.
The Amazon Books Purchase and Payments Experience team owns multiple payment methods, workflows to simplify and champion the purchase experience for our customers.
As a Business Intelligence Engineer , you will be responsible for leading the architecture, design and development of the data, metrics and reporting platform for Books. You will architect and implement new and automated Business Intelligence solutions, including big data and new analytical capabilities that support our Development Engineers, Analysts and Retail business stakeholders with timely, actionable data, metrics and reports while satisfying scalability, reliability, accuracy, performance and budget goals and driving automation and operational efficiencies. You will partner with business leaders to drive strategy and prioritize projects and feature sets. You will also write and review business cases and drive the development process from design to release.
If this sounds like a team that you want to be a part of, we want you to apply NOW!
Key job responsibilities
- knowledgeable in a variety of strategies for querying, processing, persisting, analyzing and presenting data. You are proficient in SQL
- Work effectively with customers (e.g., business teams, Data Scientists, etc.) and other internal partners to ensure deliverables meet the needs of the business and team goals.
- Troubleshoot, research root causes, propose solutions which are scalable and maintainable
A day in the life
- Working in a fun and fast paced environment, with a team of very talented professionals
- Putting together Business Metrics and evaluating anomalies for Books programs
- Trouble shooting and performing root cause analysis for challenging issues
- Collaborating with other job famillies like QA and Development team members and Product Managers
- 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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