Sr. Business Intelligence Engineer, Amazon Music, DISCO

Amazon Music reimagines music listening by enabling customers to unlock millions of songs, podcast episodes, and thousands of curated playlists and stations with their voice. Amazon 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. With Amazon Music, Prime members have access to ad-free listening of 2 million songs at no additional cost to their membership. Listeners can also enjoy the premium subscription service, Amazon Music Unlimited, which provides access to more than 75 million songs and the latest new releases. Amazon Music Unlimited customers also now have access to the highest-quality listening experience available, with more than 75 million songs available in High Definition (HD), more than 7 million songs in Ultra HD, and a growing catalog of spatial audio. Customers also have free access to an ad-supported selection of top playlists and stations on Amazon Music. All Amazon Music tiers now offer a wide selection of podcasts at no additional cost, and live streaming in partnership with Twitch. Engaging with music and culture has never been more natural, simple, and fun. For more information, visit amazonmusic.com or download the Amazon Music app.

Love music? The Amazon Music team is looking for a brilliant, creative, and passionate professional to join our Business Intelligence team. Responsibilities include: developing customer insights and segmentation to enhance and drive acquisition and engagement marketing, optimization of Amazon Music signup funnels on all devices and platforms, evaluation and optimization of marketing and content, and developing self-serve analytical tools for use by the Digital Music product and business teams.



Key job responsibilities
In this role, you will work to create and surface critical datasets to the Music org for self-service analysis and reporting in order to facilitate business and product team ability to identify marketing, product and content opportunities. You will help lead the way in defining and optimizing how we measure and value customer acquisition and engagement.

Our ideal candidate has a combination of strong technical skills, superb analytical capabilities, outstanding business insight, and excellent verbal and written communication skills. As a member of our team, you will have the opportunity to work with one of the largest and most complex data warehouses in the world to gather insights using data from across Amazon. You will work closely with the marketing, merchandising, product, and development teams to solve unique problems and find answers to questions that require tenacious problem solving and creativity.

Data-driven decision making is at the core of Amazon’s culture, and your work will have a direct impact on decision making and strategy for the Amazon Music Team.

• Working with product management and engineering to identify and scope analysis of most common customer behavioral questions.
• Partnering with our Data Engineering team to enhance data infrastructure, data availability, and broad access to customer insights made available through .
• Join large and growing BI/ Science team to leverage extensive music listening to better understand customers and contribute to product and marketing strategy.
• Defining and developing tests to identify the best way to reach, convert, and retain customers.
• Reporting to senior leadership and the team at large, on customer, product and marketing insights and trends.
• Proactively developing new metrics and studies to quantify customer behavior.
• Partnering with Alexa teams to unlock insights on our voice platform.
• Quickly build a thorough understanding of the Digital Music industry, its seasonality and global business trends and continually monitor the impact of important industry developments.

** Please note this role can sit either in SFO or SEA

Basic Qualifications

• - Bachelor’s degree in a quantitative area such as math, statistics, computer science, engineering or equivalent experience
• - 5+ years of relevant experience in analytics, business intelligence, data engineering, or related field
• - 2+ years of relevant work experience in a role requiring application of analytic skills
• - Proficient in SQL working with large-scale, complex datasets from multiple sources
• - Experience with data modeling, ETL development, and data warehousing
• - Advanced skills in Excel as well as additional data visualization tools like Tableau, Amazon QuickSight or similar BI tools
• - Advanced ability to draw insights from data and clearly communicate them to the stakeholders and senior management as required

Preferred Qualifications

• MBA or Master’s degree in Computer Science, Engineering, Statistics, Mathematics or related field
• Expert in writing and tuning SQL scripts
• Experience working in large data warehouse environments
• 5+ years of experience in a BIE or data engineer role with a technology company
• Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams
• Ability to deliver on ambiguous projects with incomplete or dirty data

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.


Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $104,300/year in our lowest geographic market up to $202,800/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. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.