Amazon Robotics is at the forefront of applying state-of-the-art artificial intelligence to solve real-world challenges at unprecedented scale. Our fulfillment centers handle more individual items than any company in the world, combining computer vision, mobile robots, advanced end-of-arm tooling, and high-degree of freedom movement with state-of-the-art AI. We collaborate with customers across Amazon worldwide to conceive, develop, prototype, and deploy intelligent robotic systems that push the boundaries of industrial automation. <br/><br/>Within Amazon Robotics, the Global Operations - Artificial Intelligence (GO-AI) team enables Amazon to accelerate and scale the next generation of AI-powered robotic solutions. We're transforming how complex visual reasoning tasks are performed across Amazon's robotics operations, moving from traditional manual data annotation processes to state-of-the-art foundation model solutions. <br/>As a Business Intelligence Engineer on GO-AI's Technology & Development Team, you'll work with cross-functional teams (Science, Software, Data, BIE) managing massive-scale, proprietary datasets to develop foundation models that achieve human-level performance on complex real-world tasks. Your work will directly impact millions of daily operations across Amazon's global fulfillment network. <br/><br/>This is a rare opportunity to work with a team building AI systems that operate at Amazon scale while solving novel technical challenges in computer vision, natural language processing, and human-AI collaboration. You'll collaborate with world-class scientists, engineers, and operations teams to deploy state-of-the-art research into production systems that deliver real-world impact at global scale. <br/><br/>Key job responsibilities<br/>• Support leadership decision-making by deep-diving into business hypotheses and anecdotes. <br/>• Design and automate ETL pipelines for business metrics. <br/>• Design insightful dashboards and reports for a senior leadership with a mixture of technical and non-technical backgrounds. <br/>• Research the most appropriate methodologies for a given analytical problem. <br/>• Contribute to key business documents. <br/>• Collaborate with stakeholders to understand business domains, requirements, and expectations. <br/>• Work with owners of data source systems to gain insights into capabilities and limitations.<br/>• Manage the timeline and deliverables of projects, anticipate risks and resolve issues. <br/>• Adopt best practices in reporting: data integrity, test design, validation, and documentation. <br/>• Have knowledge of Generative AI solutions in this space to know when to apply what to solve business problems. <br/>• Excellence verbal and written communication skills.

Basic qualifications

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience<br/>- 1+ years of SQL, ETL or Oracle experience<br/>- 1+ years of processing large, multi-dimensional datasets from multiple sources experience<br/>- 1+ years of performing statistical analysis experience<br/>- 1+ years of developing automated reporting experience<br/>- Experience with data visualization using Tableau, Quicksight, or similar tools<br/>- Experience with data modeling, warehousing and building ETL pipelines<br/>- Experience in Statistical Analysis packages such as R, SAS and Matlab<br/>- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred qualifications

- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift<br/>- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets<br/>- Experience working with cross-functional engineering teams developing artificial intelligence, machine learning, and/or robotic solutions<br/><br/>Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit <a href="https://amazon.jobs/content/en/how-we-hire/accommodations">https://amazon.jobs/content/en/how-we-hire/accommodations</a> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.