Amazon Business Intel Engineer Worldwide Last Mile Design 

United States, Washington, Bellevue 

82943337

We are looking for an innovative, highly-motivated and experienced Business Intelligence Engineer who can think holistically through multidimensional problems to understand how systems work together to identify and execute both tactical and strategic projects which drive improvements to Last Mile programs. You will work closely with engineering teams, product managers, program managers, business development manager and org leaders to deliver end-to-end data solutions aimed at continuously enhancing overall business of Last Mile engineering. In this role, you will dive deep into disparate datasets to improve our understanding of various components involved in Last Mile delivery, build decision-driven analytics that systematically track the overall quality of the Last mile business and program health, improve tooling to reduce cognitive load for data consumers, and extract actionable insights to drive program, product. You will work on exciting Simulations to optimize Last mile delivery.The Benchmarking program within Design team is focused on measuring and continuously improving the performance of Amazon’s Last Mile delivery station designs and operational layouts across safety, cost, associate experience, and efficiency metrics. You will work closely with stakeholders to translate business requirements into scalable, automated BI solutions that enable data-driven decision making.Key job responsibilities
- Partner with internal stakeholders across multiple teams, gathering requirements and delivering end to end business intelligence solutions.- Support benchmarking and innovation program pilot studies by building robust pilot analyses plan, data collection processes, and analyzing the output to deliver final recommendations.- Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
- Collaborate with cross-functional partners and stakeholders to gather business requirements, identify data sources, and deliver actionable insights.- Ensure BI solutions are scalable, maintainable, and follow best practices in data management and visualization.
- Continuously optimize data pipelines, reporting processes, and analytical workflows to improve operational efficiency.

- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. 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

- 5+ years of experience in a business intelligence or data analytics role
- Expert-level knowledge of AWS data services (e.g., EC2, DynamoDB, S3, Redshift)
- Experience with predictive analytics, machine learning, and generative BI tools
- Familiarity with design, engineering, and operational data in a logistics environment