Description Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. We are looking for a Business Intelligence Engineer to join the Promotions team. Our team vision is to create an ecosystem in which customers can find a wide range of compelling promotional discounts across Amazon, and selling partners can grow their businesses through creating attractive offers to customers. In this position, you will help define and manage goals and key performance metrics, as well as perform data deep dives to draw insights about selling partner and customer behavior that will impact product roadmaps, influence business outcomes, and contribute to documents for senior team members. The ideal candidate is a big thinker who obsesses over solving the most important customer problems, as well as an organized self-starter who breaks down projects into small pieces and adjusts plans based on customer feedback and the most recent learnings. This role entails stakeholder management, requiring coordination with worldwide partner teams, category teams, and finance. Key job responsibilities In this position, you will help define and manage goals and key performance metrics, as well as perform data deep dives to draw insights about selling partner and customer behavior that will impact product roadmaps, influence business outcomes, and contribute to documents for senior team members. The ideal candidate is a big thinker who obsesses over solving the most important customer problems, as well as an organized self-starter who breaks down projects into small pieces and adjusts plans based on customer feedback and the most recent learnings. This role entails stakeholder management, requiring coordination with partner teams 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 Preferred Qualifications - 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