Business Intelligence Engineer, Amazon Music

Business Intelligence Engineer, Amazon Music

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.

In this role, you will contribute to the analytics and insights efforts for the marketing attribution project for Amazon Music. You will develop the analytics roadmap and direction for the project, working closely with marketing stakeholders and other Amazon partners to deliver self-service solutions, insights, learning white papers and models to advance our analytics and science offerings. You will also be part of a full stacked team of business intelligence engineers, 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

1. Experience with data visualization using Tableau, Quicksight, or similar tools
2. Experience with data modeling, warehousing and building ETL pipelines
3. Experience in Statistical Analysis packages such as R, SAS and Matlab
4. Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
5. Experience of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

PREFERRED QUALIFICATIONS

1. Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
2. Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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.