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Careers at Amazon
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Business Intelligence Engineer, Amazon Music

8 Feb 2025
Seattle, WA, USA
Verified by Turrior

Content + Source + Freshness • 12 Dec 2025 • 95% confidence

90 / 100

Offer value

Excellent opportunities for creative analytics in music industry while working for a reputable brand like Amazon enhances its value.

  • Impactful role in the music analytics team at Amazon
  • Cross-functional collaborations to enhance engagement strategies
  • Opportunity to shape the future of music consumption
  • Requires creativity and adaptability in analytics
Pros
  • Innovative environment at Amazon Music with potential impact on future trends
  • Strong focus on cross-departmental collaboration and learning
  • Valuable experience in marketing analytics for digital media
Cons
  • Fast-paced environment may not suit all candidates
  • Requires adaptability to various stakeholders and shifting priorities
  • Potentially limited direct impact on broader company strategy

Who it's for

Mid/Senior • On-site or hybrid

Good fit
  • Music and entertainment enthusiasts
  • Data analysts with marketing expertise
  • Candidates looking for dynamic, creative roles
Not recommended for
  • Analysts wanting a more stable and predictable environment
  • Individuals lacking passion for the music industry
  • Candidates not interested in collaborative teamwork

Motivation fit

Interest in merging technology and entertainmentDesire to drive analytics that influence consumer engagementEnthusiasm for transforming raw data into actionable insights

Key skills

Marketing analyticsData visualizationSQL and BI toolsInterpersonal communication
Score: 90/100 AI verified analysis

About the job

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. Learn more at https://www.amazon.com/music.

In this role, you will contribute to the analytics and insights efforts for the marketing and growth organization in Amazon Music. You will
support driving the engagement domain analytics roadmap, work closely with marketing stakeholders and other Amazon partners to deliver self-service solutions, insights, deep dives and models to advance our analytics and science offerings. You will also be part of a full stacked team of business intelligence engineers, product managers, data engineers, and scientist whom you will be able to collaborate with and learn from. The ideal candidate must be willing to effectively contribute to analytics solutions, prioritize across multiple stakeholders and projects and be ready to jump into a fast-paced, dynamic and fun environment.



Key job responsibilities
• Contribute to the analytics and insights efforts for the marketing attribution project for Amazon Music.
• Work as the internal analytics consultant for marketing teams and collaborate on long-term strategy together.
• Define and deliver reporting and visualization that supports the analytical needs of internal business leaders.
• Drive self-service solutions for senior business stakeholders informing marketing investment decisions.
• Use analytical insights to help 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 and knowledge documentation and delivering learning sessions.

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