BI Engineer, Amazon Music, Disco M&G, DISCO M&G

In this role, you will lead the analytics and insights efforts for an Amazon Music Program. You will help build the analytics roadmap and direction for the global roll-out 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 prioritize across multiple stakeholders and projects to identify the best path forward and be ready to jump into a fast-paced, dynamic and fun environment.

Key job responsibilities

Lead analytics and insights efforts for a specific Amazon Music program

Work as the internal lead 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 teams 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

About the team

The Data, Insights, Science and Optimization, Marketing & Growth (DISCO M&G) team is looking for a Business Intelligence Engineer 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 ?hands off the wheel? (HOTW) marketing for personalized experiences. DISCO M&G team focuses on accelerating Amazon Music customer growth by empowering Marketing & Growth teams to make sound, customer-centric decisions through data and insights. We build data pipelines, self-service analytics, insights and predictive models enabling acquisition, engagement and retention at scale with personalized customer touchpoints.

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

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