Amazon Business Intelligence Engineer Prime Video Content Analytics Products 

United States, California 

879771723

Day-to-day responsibilities include building the infrastructure for regular reporting on business and production financial data, providing consumer insights and content analytics, and diving deep to uncover insights that will impact financial decisions. You will leverage data to provide key data-driven recommendations, enable new analyses, and innovate on behalf of our business customers.Key job responsibilities
· Own, design, develop, document, and manage scalable solutions for new and ongoing reports, analyses, data pipelines, and dashboards to support business needs.
· Generate actionable insights through the development of metrics, dashboards and deep dive analyses.
· Serve as a technical, business-metrics specialist and insight provider in the organization.· Leverage extensive data sets to derive strategic insights that shape business decisions on content spend and studio investments.
· Present insights to senior stakeholders in creative development, finance, production, technology and marketing.
· Work in a fast paced, global environment, across various functional teams.A day in the life

- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience writing complex SQL queries
- Proven ability to independently work effectively in a cross-functional, fast paced environment