Amazon Business Intelligence Engineer Alexa Telemetry Decision Science 

United States, Washington, Seattle 

855291243

Key job responsibilitiesSpecific responsibilities include:
• Develop data visualizations & dashboard designs that raise the bar and meet a wide range of customer needs
• Work cross-functionally with product managers, scientists, and engineers to design the ETL pipelines underlying our products
• Dive deep into varied data sources to understand the relationships between metrics, surface insights, and implement new data models to make analysis scalable and repeatable
• Use statistical models and machine learning solutions with large, multidimensional datasets to uncover trends, patterns, and opportunities
• Identify and recommend opportunities to automate processes
• Perform ad hoc analysis to quickly solve time sensitive operational issues and business cases
• Clearly communicate discrepancies and downtime, including specific root cause, steps to resolve, and ETA to a large user baseA day in the life
In a typical day, an Alexa B-Tel BI Engineer might work to establish new metrics for an Alexa problem space, like segmenting customers by lifecycle stages, measuring subscription funnel conversions, or tracking engagement by Prime subscribers. The BIE would understand stakeholders' business requirements and document in a BRD, explore data sources and validate accuracy and SLA performance, prototype a solution for technical review by fellow BIEs and DEs, and implement ETL pipelines to produce data for vending across Alexa.

- 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience with forecasting and statistical analysis