BI Engineer II, Amazon Music, India

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

A day in the life



About the team
Amazon Music India team is looking for a Business Intelligence Engineer to join the team to accelerate Amazon Music customer growth by empowering business 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. - 5+ 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