Business Intelligence Engineer, Amazon Music DISCO
Role details
Job location
Tech stack
Job description
Lead analytics and insights efforts for the marketing attribution project for Amazon Music.
-
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 team 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.
-
Evangelize analytics, insights, and measurement across internal teams by writing whitepapers, knowledge documentation and delivering learning sessions.
Requirements
In this role, you will lead the analytics and insights efforts for the flagship marketing attribution project for Amazon Music. You will set the analytics roadmap for the project and work closely with marketing stakeholders and partners to deliver self-service solutions, insights, learning whitepapers and models to advance our analytics and science offerings. You will also be part of a full stack team of business intelligence engineers, data engineers, and scientists whom you will be able to collaborate with and learn from. The ideal candidate must effectively lead analytics solutions, prioritize across multiple stakeholders and projects and be ready to jump into a fast-paced, dynamic and fun environment., 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
Benefits & conditions
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .
USA, CA, Culver City - 99,500.00 - 160,000.00 USD annually
USA, CA, San Francisco - 114,500.00 - 185,000.00 USD annually
USA, CA, Sunnyvale - 114,500.00 - 185,000.00 USD annually
USA, WA, Seattle - 99,500.00 - 160,000.00 USD annually
