Business Intelligence Engineer, Alexa Audio Data and Insights

$89,600 - $185,000/Yr

Amazon - Seattle, WA

Full-time - Mid Level

Seattle, WA

10,001+ employees

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Business Intelligence Engineer role at Amazon's Alexa Audio team focuses on transforming the audio experience for customers by leveraging data insights and analytics. This position involves collaborating with various teams to support audio feature launches, define metrics and KPIs, and analyze large datasets to drive business decisions. The ideal candidate will possess strong technical skills in data analysis and visualization, along with excellent communication abilities to effectively liaise with stakeholders.

Responsibilities

• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
• Interface with business customers, gathering requirements and delivering complete reporting solutions
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
• Perform creative deep dive analyses to explain findings
• Interact with internal stakeholders to share insights from monitoring and deep dive analyses
• Drive instrumentation as part of organization-wide programs and enhancements

Requirements

• 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

Nice-to-haves

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
• Bachelor's degree in sciences, engineering, finance or equivalent

Benefits

• Medical insurance
• Financial benefits
• Employee discounts
• Equity options
• Sign-on payments