Amazon is hiring: Business Intelligence Engineer, Amazon Music in Seattle

Business Intelligence Engineer, Amazon Music

Job ID: 2895640 | Amazon.com Services LLC

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 scientists 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

1. Contribute to the analytics and insights efforts for the marketing attribution project for Amazon Music.
2. Work as the internal analytics consultant for marketing teams and collaborate on long-term strategy together.
3. Define and deliver reporting and visualization that supports the analytical needs of internal business leaders.
4. Drive self-service solutions for senior business stakeholders informing marketing investment decisions.
5. Use analytical insights to help increase business and team effectiveness against key strategic goals.
6. 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.
7. Partner with analytics and science teams across Amazon entertainment and subscription businesses.
8. Educate and evangelize across internal teams on analytics, insights and measurement by writing whitepapers and knowledge documentation and delivering learning sessions.

BASIC QUALIFICATIONS

• 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.
• Experience of analyzing and interpreting data with Redshift, Oracle, NoSQL etc.

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.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.

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