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.

The Data, Insights, Science and Optimization, Consumer Product and Tech (DISCO CPT) team is looking for an Analytics Lead to join a team of Data Scientists, Analytics Leads, Business Intelligence Engineers and Data Engineers who analyze big data, provide analytics and insights as well as build models and algorithms that power product for personalized experiences. DISCO CPT team focuses on accelerating Amazon Music customer growth by empowering Product teams to make sound, customer-centric decisions through data and insights. We build data pipelines, self-service analytics, insights and dashboards, deliver engagement and retention at scale. In this role, you will lead the analytics and insights efforts for one of the Amazon Music product teams. You will set the analytics roadmap and direction for the domain and work with stakeholders and partners to deliver self-service solutions, insights, learning white papers and models to advance our analytics and science offerings. The ideal candidate must be willing to effectively lead analytics solutions, prioritize across multiple stakeholders and projects and be ready to jump into a fast-paced, dynamic and fun environment.

Key job responsibilities

- Working with product management and engineering to identify and scope data aggregations that facilitate 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 customer insights and trends.

- Proactively developing new metrics and studies to quantify customer behavior.

- Combining online web customer behavior and offline customer attributes to gain novel and powerful understanding of Digital Music customers.

- 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.

- Work closely with finance team to conduct business and financial analysis, including forecasting and monitoring of key business activity

We are open to hiring candidates to work out of one of the following locations:

San Francisco, CA, USA | Seattle, WA, USA

BASIC QUALIFICATIONS

- 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

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. 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 $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. 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. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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