Amazon BI Engineer Amazon Music Disco & G DISCO 

Mexico, Mexico City 

248469137

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

- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)

- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis