Data Science Engineer for Music Analytics

4 days ago


Bengaluru, Karnataka, India myGwork Full time

Amazon Music is an inclusive employer and a member of myGwork, the largest global platform for the LGBTQ+ business community. In this role, you will lead analytics and insights efforts for Amazon Music programs, building the analytics roadmap and direction for global roll-outs. You will work with stakeholders and partners to deliver self-service solutions, insights, learning white papers, and models to advance our analytics and science offerings.

About the Job

As a Business Intelligence Engineer, you will be responsible for leading analytics and insights efforts for a specific Amazon Music program. Your key responsibilities will include working as an internal lead analytics consultant for marketing teams, collaborating on long-term strategy, defining and delivering reporting and visualization, driving self-service solutions, and using analytical insights to increase business effectiveness.

You will also 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. Additionally, you will partner with analytics and science teams across Amazon entertainment and subscription businesses, educating and evangelizing across internal teams on analytics, insights, and measurement.

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, build models, and algorithms that power hands-off-the-wheel marketing for personalized experiences.

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

We estimate the salary for this position to be around $120,000 - $150,000 per year, depending on location and experience.



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