At Amazon we are working to be the most customercentric company on earth. Amazon Books content acquisition team is looking for a strong Business Intelligence Engineer to build robust data products that help our Books Supply Chain and Operations team to gain business insights and understand the value of the business.
Books Supply Chain and Operations team comprises of several programs including Forecasting and Buying Inbound and transportation Inventory Returns etc. Our team mission is to build best in class tools that endure and speeds access to information and insight. As a business intelligence engineer you will partner with internal and external teams to understand the business problems/gaps in reporting. You would then frame analytical solution/reporting product that address the business problem. You will use a combination of reporting data mining analytics data architecture design skills and reporting platform (Quicksight Datanet Cradle) skills to develop internal selfservice tools that can scale for Amazon global books content organization. This role requires an individual with excellent analytical abilities knowledge of business intelligence solutions as well as business acumen and the ability to work with quantitative problems. The successful candidate will be a selfstarter comfortable with ambiguity has strong attention to detail an ability to work in a fastpaced and everchanging environment and driven by a desire to innovate in this space.
Key job responsibilities
* Build scalable solutions / selfserve platforms that will provide data / KPIs to inform business decision making
* Apply data mining and quantitative analysis to understand ways to improve our content selection for customers
* Analyze and solve business problems with focus on understanding root causes and driving forwardlooking opportunities
* Own the design development and maintenance of ongoing performance metrics reports analyses dashboards etc. to drive key business decisions
* Build various data visualizations to tell the story and let the data speak for itself
* Recognize and adopt best practices in reporting and analysis: data integrity test design analysis validation and documentation
* Proactively developing new metrics and studies to quantify customer behavior
A day in the life
Engage with product program vendor account managers to understand business problems
Translate business problems into analytical solutions (data extracts selfserve dashboards ML solution)
Identify and source data creatively from bespoke data sources. Partner with analytics peer group to validate data/assumptions
Participate in trainings to learn about the business and evolving best practices in the analytic functional space
Proactively identify analytics opportunities write papers drive alignments with customers and execute on the aligned roadmap
About the team
BCAA (Books Content Aquisition Analytics) supports the data reporting and analytics selfserve tool development needs of Books Content Acquisition organization
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 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 largescale complex datasets
Experience with statistical analytics forecasting and scripting language such as Python.
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