> Markdown version of [/jobs/ext/2026881-business-intelligence-engineer-ii-middle-mile-planning-optimization](https://www.wearedevelopers.com/jobs/ext/2026881-business-intelligence-engineer-ii-middle-mile-planning-optimization). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Business Intelligence Engineer II, Middle Mile Planning & Optimization - **Company:** Amazon.com, Inc. - **Location:** Bellevue, WA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Big Data, Data Integrity, Extract Transform Load (ETL), Data Mining, Data Presentation, Data Visualization, Amazon DynamoDB, R (Programming Language), Python (Programming Language), MATLAB, NoSQL, Oracle (Applications), SAS (Software), SQL Databases, Tableau (Software), Statistics Packages, Amazon Redshift - **Published:** August 11, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/business-intelligence-engineer-ii-middle-mile-planning-and-optimization-bellevue-wa-usa-58898734 ## About the Role across work items backwards from the end customer to improve metrics, productivity, and efficiency * Adopt best practices in reporting and analysis, including data integrity, test design, validation, and documentation Tasks * Bachelor's degree in a quantitative field or equivalent experience * 3+ years of experience analyzing data with Redshift, Oracle, NoSQL * Experience with data visualization tools (Tableau, Quicksight, or similar) * Experience modeling, warehousing, and building ETL pipelines * Proficiency in SQL and Python for data processing and modeling * Experience with AWS services (EC2, DynamoDB, S3, Redshift) * Experience with statistical analysis tools (R, SAS, Matlab) * Experience presenting insights to stakeholders and collaborating with cross-functional teams Key requirements * health insurance * 401(k) matching * paid time off * parental leave * RSUs * sign-on incentives ## Description Experteer Overview In this role you will lead analytical use cases for Amazon's Middle Mile Transportation Technology, turning data into actionable insights that improve time and cost efficiency. You will partner with executives, engineering, science, and operations to translate business questions into measurable analyses and production-ready solutions. The work spans big data, ML, and optimization to build scalable, high-availability services that influence billions in value. You'll operate in a fast-paced environment, guiding both strategy and day-to-day execution with a customer-focused mindset. Compensation / Benefits * Generate insightful analyses, reports, and data visualizations to answer critical business questions and identify notable trends * Translate data into actionable insights for stakeholders and spot new opportunities for improvement * Apply data mining and modeling across multiple data sources to uncover key drivers and build predictive models * Define, design, and execute work items backwards from the end customer to improve metrics, productivity, and efficiency * Adopt best practices in reporting and analysis, including data integrity, test design, validation, and documentation Tasks * Bachelor's degree in a quantitative field or equivalent experience * 3+ years of experience analyzing data with Redshift, Oracle, NoSQL * Experience with data visualization tools (Tableau, Quicksight, or similar) * Experience modeling, warehousing, and building ETL pipelines * Proficiency in SQL and Python for data processing and modeling * Experience with AWS services (EC2, DynamoDB, S3, Redshift) * Experience with statistical analysis tools (R, SAS, Matlab) * Experience presenting insights to stakeholders and collaborating with cross-functional teams Key requirements * health insurance * 401(k) matching * paid time off * parental leave * RSUs * sign-on incentives ## 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 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) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)