Amazon Music is seeking a Business Intelligence Engineer to join their Content Analytics & Strategy (CAST) team, focusing on the Music Merchandise business. This role represents an exciting opportunity at the intersection of music, merchandising, and data analytics.
The position involves working with Amazon Music, an immersive audio entertainment service that connects fans, artists, and creators through various offerings including personalized music playlists, exclusive podcasts, concert livestreams, and artist merchandise. As a BI Engineer, you'll be instrumental in driving data-informed decisions for the Music Merch business.
Your primary responsibilities will include creating and optimizing SQL reporting, building ETL pipelines, developing interactive dashboards, and conducting in-depth data analysis. You'll work closely with cross-functional partners to translate complex data into actionable insights that shape merchandising strategies. The role requires strong analytical skills and the ability to bridge the gap between data analysis and practical business execution.
The CAST team plays a crucial role in accelerating and facilitating content analytics across various domains including programming, artist & label relations, public relations, originals, merchandising, fandom experiences, and podcasts. You'll be part of a dynamic team making a direct impact on Amazon Music customers' experience.
This position offers a competitive salary range of $74,100 to $165,600 per year, depending on location and experience. Amazon provides a comprehensive benefits package including medical, financial, and other benefits. The role is based in the Los Angeles area and requires 2+ years of experience in data analysis and interpretation.
The ideal candidate will be detail-oriented, customer-obsessed, and comfortable working in an ambiguous environment. You should have experience with data visualization tools, statistical methods, and be passionate about the intersection of music, merchandising/retail, and data analytics. This role offers an excellent opportunity to influence how Amazon Music engages with fans, artists, and creators on a global scale while working with cutting-edge data analytics tools and methodologies.