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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Business Intelligence Engineer II, Leo Supply... - **Company:** Amazon.com, Inc. - **Location:** Bellevue, WA, United States - **Salary:** $99,500.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Big Data, Databases, Extract Transform Load (ETL), Data Mining, Data Visualization, Data Warehousing, Amazon DynamoDB, R (Programming Language), Python (Programming Language), MATLAB, NoSQL, Oracle (Applications), SAS (Software), SQL Databases, Tableau (Software), Data Processing, Scripting, Large Language Models, Build Management, Performance Monitor, Data Pipelines, Amazon Redshift - **Published:** July 3, 2026 - **Apply:** https://www.juju.com/job/00000000gdlgkp ## About the Role As a BIE within Leo Hardware Supply Chain, you will tackle complex data challenges and translate them into clear, actionable insights for the business. You are a customer-obsessed problem-solver who will build effective partnerships across Leo's ecosystem, including hardware, software, supply chain, manufacturing, launch, facilities, transportation, and finance teams. Your ability to invent and simplify processes will be key to solving day-to-day data needs. You will use your communication skills to articulate data concepts clearly and collaborate with diverse technical and non-technical stakeholders to deliver results. You will contribute to the team's engineering excellence by implementing best practices and proactively seeking opportunities to learn and share knowledge., 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. 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 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 in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift ## Description Collaborate with cross-functional and cross-organizational teams to understand business needs and implement data-driven solutions that enable better decision making - Define and track key metrics and performance indicators to monitor performance and drives continuous improvement across Leo operations. - Execute analytical approaches to uncover new insights and share recommendations that improve productivity - Design and build robust, self-service reporting solutions that scale across the organization - Write complex, performant SQL queries and develop efficient data pipelines to support both recurring and ad-hoc analytical needs - Build and maintain data infrastructure in collaboration with BIEs/DEs, focusing on improving data quality and availability - Communicate analytical findings and methodology to diverse stakeholders through clear documentation and presentations - Lead technical initiatives and actively share knowledge with team members, supporting analytics best practices - Maintain awareness of AI/ML advancements (especially around LLMs and GenAI) and propose new technologies for team consideration A day in the life This role will be highly collaborative, requiring partnerships with cross-functional leaders to drive positive results. You will tackle challenging, novel business problems every day and have the opportunity to work with multiple technical teams of Leo. You should be comfortable with a high degree of ambiguity and relish the idea of solving problems that haven't been solved at scale before. Along the way, we guarantee that you will learn a lot, have fun and make a positive impact on millions of people. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Leveraging Large Language Models for Legacy Code Translation: Challenges and Solutions](https://www.wearedevelopers.com/videos/1157-leveraging-large-language-models-for-legacy-code-translation-challenges-and-solutions) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [Building a hypercar from scratch](https://www.wearedevelopers.com/videos/607-building-a-hypercar-from-scratch) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)