Senior Business Intelligence Engineer, ShipTech Analytics

Amazon is hiring a Senior Business Intelligence Engineer, ShipTech Analytics in Bellevue, United States. It pays $130k-$176k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
Tools and skills the posting cites include Hadoop, Spark and Emr.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Build big data analytical solutions, ETL pipelines, and AI-powered automation to optimize global transportation networks.

hadoopsparkemrsnssqslambdakinesisdynamodbaws

etldata-modelingbusiness-intelligencebig-dataanalytics

Do you want to be in the forefront of engineering big data analytical solutions that takes Amazon's global transportation models to the next generation? 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. 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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Bellevue - 130,400.00 - 176,300.00 USD annually

How we rate this

Senior Business Intelligence Engineer, ShipTech Analytics at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Business Intelligence Engineer, ShipTech Analytics is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $130k-$176k a year.
The role is based in US, WA, Bellevue.
The job was posted on September 1, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ETLData ModelingBusiness IntelligenceBig DataAnalyticsHadoopSparkEmr

Questions you could be asked

Tell me about a project where etl was part of your work. What did you do?
Tell me about a project where data modeling was part of your work. What did you do?
Tell me about a project where business intelligence was part of your work. What did you do?
Tell me about a project where big data was part of your work. What did you do?
Tell me about a project where analytics was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: ETL, Data Modeling, Business Intelligence, Big Data, and Analytics. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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