Business Intelligence Engineer

hace 1 semana


Ciudad de México, Ciudad de México Amazon A tiempo completo
About the Role

We are seeking a highly skilled Business Intelligence Engineer to join our Data, Insights, Science and Optimization, Marketing & Growth (DISCO M&G) team at Amazon. As a key member of our team, you will be responsible for leading analytics and insights efforts for an Amazon Music program, working closely with stakeholders and partners to deliver self-service solutions, insights, and models to advance our analytics and science offerings.

Key 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 DISCO M&G team is a dynamic and fast-paced environment that 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.

Requirements
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL 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 an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.



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