Business Intelligence Engineer, Amazon Music - DISCO
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Amazon Music reimagines music listening by enabling customers to unlock millions of songs and thousands of curated playlists and stations with their voice.
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Amazon
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Music provides unlimited access to new releases and classic hits across iOS and Android mobile devices, PC, Mac, Echo, and Alexa-enabled devices including Fire TV and more. Prime members have access to ad‑free listening of more than 75 million songs at no additional cost to their membership. The premium subscription service, Amazon Music Unlimited, gives access to more than 75 million songs, the latest releases, and high‑definition audio options. All tiers offer free curated playlists, podcasts, and live streaming in partnership with Twitch. For more information, visit or download the Amazon Music app.
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The Data, Insights, Science and Optimization, Marketing & Growth (DISCO M&G;) team seeks a Business Intelligence Engineer (BIE) to join a cross‑functional group of Data Scientists, Analytics Leads, Business Intelligence Engineers, and Data Engineers. The team develops big data pipelines, self‑service analytics, insights, and predictive models that power Next Best Experience (NBX) marketing for personalized customer touchpoints. In this role, you will lead analytics and insights efforts for the Amazon Music Marketing domain, set the analytics roadmap, and collaborate with stakeholders to deliver actionable solutions and knowledge articles.
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Key Responsibilities
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- Lead analytics and insights efforts for one of Amazon Music Marketing domain.
- Serve as the internal lead analytics consultant for marketing teams and collaborate on long‑term strategy.
- Define and deliver reporting and visualization that support the analytical needs of internal business leaders.
- Drive self‑service solutions for senior business stakeholders to inform marketing investment decisions.
- Use analytical insights to increase business and team effectiveness against key strategic goals.
- Build a thorough understanding of the streaming music industry, the subscription business model, and key internal partners across Prime, Amazon devices, media and entertainment businesses.
- Partner with analytics and science teams across Amazon entertainment and subscription businesses.
- Educate and evangelize across internal teams on analytics, insights and measurement by writing whitepapers, knowledge documentation, and delivering learning sessions.
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About the Team The DISCO M&G; team accelerates Amazon Music customer growth by empowering Marketing & Growth teams to make data‑driven, customer‑centric decisions. The team builds data pipelines, self‑service analytics, insights, and predictive models that enable acquisition, engagement, and retention at scale.
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Basic Qualifications
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- 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.
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Preferred Qualifications
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- 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. xugodme
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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.