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Amazon Business Intelligence Engineer 
United States, Washington, Bellevue 
736961288

05.02.2025
DESCRIPTION

This Business Intelligence Engineer (BIE) role will chart the future of DEX's Convenience programs by developing tools and mechanisms to power insights about our customers and our program. In this role, you will be responsible for delivery performance and precision delivery metrics, deep-dives and custom analyses. You’ll set the bar for analytics, insights, experiment design and readouts and ensure that the product and technical teams are making the right decisions for our customers and long-term program success. You’ll make sure that feature launches are backed by fresh, accurate data and help product managers and engineers grow their analytic capabilities. You’ll tackle complex questions requiring longitudinal or econometric analysis. To be successful in this BIE role you must possess ruthlessly high standards for the quality of data and insights, and a natural ability and penchant to prioritize and dive deep as many layers as necessary to get to the answers you seek.Key job responsibilities- Understand the product and technical context in order to grasp and anticipate requirements and effectively communicate findings- Build various data visualizations to tell the story and let the data speak for itself
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation- Partner with stakeholders to gather requirements and integrate necessary data sources to support business analysis and reporting
- Continually improve recurring reporting and analysis processes via re-architecture or automated solutions


BASIC QUALIFICATIONS

- 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