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# Business Intelligence Engineer, ShipTech Analytics

- **Company:** AMAZONIANS FBA, LLC
- **Location:** Bellevue, WA, United States
- **Experience:** Expert
- **Salary:** $130,400.0 - $176,300.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Big Data, Code Review, Data as a Services, Data Files, Data Infrastructure, Extract Transform Load (ETL), Amazon DynamoDB, Apache Hadoop, Python (Programming Language), Oracle (Applications), Amazon Simple Notification Service (SNS), SQL Databases, Scripting, Sql Optimization, Apache Spark, Electronic Medical Records, Generative AI, Build Management, Information Technology, Data Analytics, Data Management, Functional Programming, Amazon Simple Queue Service (SQS)
- **Published:** October 16, 2026
- **Apply:** https://www.juju.com/job/1_amazon6-10524231

## About the Role

Partner with senior engineers and principal engineers to solve problems at scale to improve existing data services, building new ones, that enhance customer experience Basic Qualifications - 5+ years of professional or military experience - 5+ years of SQL experience - 4+ years of processing large, multi-dimensional datasets from multiple sources experience - 1+ years of performing statistical analysis experience - 5+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience - 5+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience in scripting for automation (e.g.
Python) and advanced SQL skills. - Experience working directly with business stakeholders to translate between data and business needs Preferred Qualifications - Experience managing, analyzing and communicating results to senior leadership - Experience with AWS technologies - Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices - Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

## Description

Do you have a solid analytical thinking, metrics driven decision making and want to solve problems with solutions that will meet the growing worldwide need?
We are looking for strong senior Business Intelligence Engineers to be part of ShipTech Analytics team to build data and analytics solutions powering Amazon's global transportation network.
We perform data modeling, build real time analytical platforms using big data tools and AWS technologies like Hadoop, Spark, EMR, SNS, SQS, Lambda, Kinesis Firehose, DynamoDB Streams.
As a BIE, you'll work on building analytical solutions that empower operations teams worldwide.
The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics.
The candidate is an expert with data modeling, ETL design and business intelligence tools and passionately partners with the business to identify strategic opportunities where improvements in data infrastructure creates out-sized business impact and is a self-starter, comfortable with ambiguity, able to think big, and enjoys working in a fast-paced and global team.
The candidate will also build metrics for the transportation network, while contributing to innovative AI-powered solutions delivering automated insights across the transportation network.
Key job responsibilities 1.
Design and build scalable ETL and metrics supporting Amazon's global transportation network.
2.
Build data reporting and data tools that streamline the complete business lifecycle 3.
Partner closely with stakeholders across operations and analytics teams to understand requirements, design solutions, and deliver metrics and insights that enable faster, more informed decision-making 4.
Own data quality and implement enhancements for datasets that enable operational excellence and improve customer experience 5.
Collaborate with cross-functional teams to standardize analytics capabilities and build AI-powered automation 6.
Leverage AWS cloud technologies to transform raw data into actionable metrics 7.
Drive continuous improvement through code reviews, design discussions, and operational best practices 8.