Business Intelligence Engineer, AWS Finance, Analytics and Science Team

Amazon is hiring a Business Intelligence Engineer, AWS Finance, Analytics and Science Team in Seattle, United States. It pays $82k-$144k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
Tools and skills the posting cites include SQL, ETL and Redshift.
Level classifies it as a mid-level role.
Level lists 22,000+ other open roles at Amazon.

AI in this role

Business Intelligence Engineer to design data solutions, drive analytics, and leverage emerging innovations to automate workflows at AWS.

sqletlredshiftoraclenosqltableauquicksightexcelmicrostrategypowerbipythonjava+1

data-analysisdata-visualizationdata-modelingstatisticsworkflow-automation

AWS is one of Amazon's largest and fastest-growing businesses, serving millions of customers in more than 190 countries. We use cloud computing to reshape the way global enterprises leverage information technology.

The AWS Central Economics & Science (ACES) team drives best practices for objectively applying economics and science to decision-making across AWS. Partnering with Finance, Science, and Business teams, ACES identifies, frames, and analyzes complex, ambiguous problems of the highest priority. The ACES Business Intelligence (BI) team supports strategic decision-making across the AWS global organization, delivering data-driven insights that power sales operations and business performance optimization. We are looking for a creative, analytical, and enthusiastic Business Intelligence Engineer to join us.

The ideal candidate is an expert in SQL, ETL, and general data wrangling, with exemplary communication skills. They thrive in ambiguity within a fast-paced, evolving environment and can think big while maintaining careful attention to detail. They are passionate about business intelligence tools and skilled at partnering with stakeholders to answer key business questions.

Key job responsibilities
Work with business customers to gather requirements and deliver complete data analytical solutions

Learn why customers are asking for data and what their underlying questions and business goals are

Own the design, development, and maintenance of ongoing metrics and analyses used to drive key business decisions

Recognize and adopt best practices, including data integrity, accuracy, and reliability, as well as documentation

Leverage AI and emerging innovation in data infrastructure to automate repetitive workflows, accelerate analyses, and unlock new patterns from complex datasets

Drive data democratization throughout the organization, enabling others to self-serve their data needs

Basic qualifications

- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)

Preferred qualifications

- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis

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, Seattle - 82,300.00 - 144,000.00 USD annually

How we rate this

Business Intelligence Engineer, AWS Finance, Analytics and Science Team at Amazon rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● 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

Business Intelligence Engineer, AWS Finance, Analytics and Science Team is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $82k-$144k a year.
The role is based in US, WA, Seattle.
The job was posted on September 28, 2026.
Seniority: mid.
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

Data AnalysisData VisualizationData ModelingStatisticsWorkflow AutomationSQLETLRedshift

Questions you could be asked

Tell me about a project where data analysis was part of your work. What did you do?
Tell me about a project where data visualization 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 statistics was part of your work. What did you do?
Tell me about a project where workflow automation was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Data Analysis, Data Visualization, Data Modeling, Statistics, and Workflow Automation. 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.

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