Prime Video is changing the way millions of customers interact with video content. Our team delivers high-quality video to Amazon customers through subscriptions (Amazon Prime) as well as purchases and rentals. Amazon believes so deeply in the mission of Video that we've launched our own studio to create original and exclusive content. Every day we face the challenges of a fast-paced market and expanding technology set. You will have the freedom and encouragement to explore your own ideas and the reward of seeing your contributions benefit millions of Amazon customers worldwide.
Amazon is looking for a Business Intelligence Engineer (BIE) to join the Prime Video Content & Publishing Lifecycle team.
We’re looking for a BIE who can help us drive data-driven decision-making and insights from Supply Chain data. In this role, you'll be a strategic partner of the product, tech & operations teams and work with them to drive improvements and create tools to provide visibility to trends and insights.
Key job responsibilities
Responsibilities include:
- Identify, develop and execute data analysis to uncover areas of business opportunity
- Learn and understand a broad range of data resources and know how, when and which data sources to use
- Deep dive into massive data sets, build data pipelines using SQL and dashboards using Tableau / QuickSight
- Present insights and recommendations to key stakeholders in both verbal and written form
- Manage and execute entire project from start to finish including problem solving, data gathering & manipulation, analysis and project management
- Convert business requests into technical requirements for data products.
- Collaborate with multiple tech and non-tech teams including Product, Program, Operations, Science, Engineering and other BIE teams.
A day in the life
- Stakeholder management
- Design processes and metrics
- Work on advanced analytics, actionable insights and data products
About the team
Our team’s vision is to be the trusted analytical powerhouse and spearhead unified data-driven solutions which makes Prime Video a defect free experience for our customers.
We are open to hiring candidates to work out of one of the following locations:
Bangalore, KA, IND
- 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 visualization using Tableau, Quicksight, or similar tools
- 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 writing complex SQL queries
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- 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
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