Amazon Selection and Catalog Systems (ASCS) builds the systems that host and run the world’s largest e-Commerce products catalog. Our high scale distributed systems process hundreds of millions of updates on the billions of products to power the online buying experience for hundreds of millions of Amazon's customers worldwide, so they can find, discover and buy anything they want 24x7x365.

As part of ASCS, Amazon’s Selection Contribution Platform (SCP) team are looking for talented Business Intelligence Engineer (BIE) passionate about using data to drive critical business decisions to join our growing engineering team in London. Central to Amazons retail business, our high scale distributed systems hold the largest product catalog in the world, and manage data ingestion and processing from millions of external data contributors, Amazons own retail catalog, and Amazon internal customers including Kindle, Prime Video and Alexa. We drive Amazons growth by delivering innovative business and technical solutions that help drive up product selection for our customers, and continue to facilitate year on year growth in this dynamic, fast paced, ever growing business.

The ideal candidate will not only be passionate about working with big data sets, but also be comfortable developing key analytical frameworks. In addition, this person will have strong business acumen, experience in developing reporting and analytical infrastructures, exemplary communication skills, an ability to work effectively with cross functional teams, and an ability to work in a fast paced and ever-changing environment.

Key responsibilities include:
· Work with Product Managers, Software Development Managers , other Engineers and leadership to identify metric needs and requirements
· Own the design, development, and management of scalable solutions for ongoing metrics, reports, analyses, dashboards to support business needs. Perform monthly variance analysis and identify risks and opportunities.
· Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting. Specifically, own all SQL, Redshift, Quicksight functions – ad hoc, recurring, trouble-shooting.
· Design and drive experiments to form actionable recommendations. Present recommendations and drive decisions.
· Use data mining, model building, and other analytical techniques to develop and maintain usage segmentation and predictive models to drive the business.

BASIC QUALIFICATIONS

· Experience with SQL
· Experience with data visualization using Tableau, Quicksight, or similar tools
· Experience in the data/BI space
· Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or a quantitative field, or equivalent experience
· 3+ years’ experience as a Business Intelligence Engineer, Data Scientist, Data Engineer, or similar data roles
· Proven analytical and quantitative skills, ability to use hard data and metrics to back up assumptions and concepts
· Experience with gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics, and build reports.
· Excellent SQL, visualization, and problem solving skills

PREFERRED QUALIFICATIONS

· 5+ years’ experience as a Business Intelligence Engineer, Data Scientist, Data Engineer with a technology company
· Experience with Tableau, QuickSight or other similar data visualization tools
· Data manipulation with Python or other programming experience
· Familiarity with AWS solutions such as Redshift, S3, and SageMaker
· Experience conducting large scale data analysis to support business decision making