Sr. Business Intelligence Engineer, Mechatronics and Sustainable Packaging

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to these questions and you'll fit right in here in Mechatronics and Sustainable Packaging Integrated Systems team.

We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers' experiences in ways we can't imagine yet. We invent new improvements every day.

The packaging and sustainable packaging group develops robotic material handling products that increase the safety and efficiency of our fulfillment operations. Our products are deployed across the Amazon Fulfillment Network, automating material flow to reduce operational costs, increase throughput, and enable consistent quality. Our workcells are integrated into broader solutions for storage, packaging, sortation, and transportation of items and packages.

MSP is seeking a Sr. BIE to join a dynamic new data team that provides leadership for concept development, architecture, design and testing of robotics systems and industrial equipment. This is an opportunity to make your mark and shape how the team accesses, utilizes and distributes data that continues to inform critical decision making within the organization. You'll work closely with Business Intelligence Engineers, Data Scientists, Product Managers, Systems Engineers and more.

Key job responsibilities:

• Write expert-level SQL that extracts actionable insights from some of the world's largest datasets
• Dive deep to help drive key business decisions through data insights and improve a wide range of internal products
• Own the design and development of automated solutions for recurrent reporting and in-depth analyses including learning, publishing, and managing our operational business metrics decks
• Drive continuous improvement of our analytical processes by automating, scaling, and simplifying self-service support for our customers
• Invent new ways to explore our data and work with Product Managers to identify opportunities and transform business problems into defined data and reporting requirements
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modelling, warehousing and building ETL pipelines

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.