Business Intelligence Engineer, World Wide Deals Experience, DealsX in Berlin

Job summary
Are you looking for the opportunity to have a major impact on cutting edge technology used by millions of people every day? The Deals Experience (DealsX) team is looking for a Business Intelligence Engineer to work on our worldwide feature that helps Amazon customers find great deals on great products.

Amazon Deals are an integral part of the Amazon shopping experience, and we are a key element of events like Prime Day. Our features are used by hundreds of millions of customers, and we are responsible for the multi-billion-dollar Deals business. We partner with teams throughout the Amazon ecosystem to optimize deal ingestion, to enhance classification and ranking of deals, to expand deal discovery throughout the site, and to raise the bar for the best customer experience on mobile app, web, desktop.

A successful candidate will have a deep knowledge of business intelligence solutions and possess statistical and analytical abilities, and can work with technology, product development, and business teams. They will have passion for data and analytics, be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and entrepreneurial environment and driven by a desire to innovate Amazon’s approach to this space.

Key job responsibilities
• Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support the needs of the business.
• Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complicated data sets.
• Be hands-on with ETL to build data pipeline to support automated reporting.
• Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations to support future improvements or innovations. This will require data gathering and manipulation, problem solving, and communication of insights and recommendations.
• Build various data visualizations to tell the story of business trends, patterns, and outliers through rich visualizations.
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.