Business Intel Engineer, GO-AI

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.

• 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.
• 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.

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.

• Key job responsibilities
• •Support leadership decision-making by deep-diving into business hypotheses and anecdotes.
• •Design and automate ETL pipelines for business metrics.
• •Design insightful dashboards and reports for a senior leadership with a mixture of technical and non-technical backgrounds.
• •Research the most appropriate methodologies for a given analytical problem.
• •Contribute to key business documents.
• •Collaborate with stakeholders to understand business domains, requirements, and expectations.
• •Work with owners of data source systems to gain insights into capabilities and limitations.
• •Manage the timeline and deliverables of projects, anticipate risks and resolve issues.
• •Adopt best practices in reporting: data integrity, test design, validation, and documentation.
• •Have knowledge of Generative AI solutions in this space to know when to apply what to solve business problems.
• •Excellence verbal and written communication skills.

Basic qualifications

• - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• - 1+ years of SQL, ETL or Oracle experience
• - 1+ years of processing large, multi-dimensional datasets from multiple sources experience
• - 1+ years of performing statistical analysis experience
• - 1+ years of developing automated reporting experience
• - Experience with data visualization using Tableau, Quicksight, or similar tools
• - Experience with data modeling, warehousing and building ETL pipelines
• - Experience in Statistical Analysis packages such as R, SAS and Matlab
• - 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
• - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
• - Experience working with cross-functional engineering teams developing artificial intelligence, machine learning, and/or robotic solutions

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