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Amazon Business Intelligence Engineer Jobs (NOW HIRING)

Business Intelligence Engineer, AHS Finance

Seattle, WA · On-site

$58 - $75.50/hr

At Amazon Health, we want to make it dramatically easier for people to get and stay healthy. We ... We are looking for an AI-first Business Intelligence Engineer to join our team. Working within the ...

Business Intelligence Engineer

Plano, TX · On-site

$49 - $63.75/hr

Business Intelligence Engineer Business intelligence engineers must be data experts, as they work primarily with databases and different types of software. Often abbreviated as BI engineer, this job ...

Business Intelligence Engineer, MEDICI

Newark, NJ · On-site

$53.25 - $69.25/hr

ABOUT THIS ROLE As a Business Intelligence Engineer at Audible, you'll serve as a data-driven ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...

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Amazon Business Intelligence Engineer information

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How much do amazon business intelligence engineer jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for amazon business intelligence engineer in the United States is $57.05, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $63.70 per hour, depending on experience, location, and employer.

What are some typical projects or responsibilities for Amazon Business Intelligence Engineers?

As an Amazon Business Intelligence Engineer, you will typically design and implement data pipelines, build dashboards and reports, and analyze large datasets to identify patterns and insights that inform business strategies. You’ll frequently collaborate with product managers, software engineers, and business teams to define requirements and deliver solutions that drive operational efficiency and enhance customer experiences. Common projects include automating reporting processes, developing predictive models, and optimizing business processes based on analytical findings. This role offers variety and the opportunity to directly impact business decisions and performance, making it both challenging and rewarding.

What are the key skills and qualifications needed to thrive in the Amazon Business Intelligence Engineer position, and why are they important?

To thrive as an Amazon Business Intelligence Engineer, you need a solid background in data analysis, SQL, data modeling, and a related degree such as computer science, engineering, or mathematics. Expertise in tools like Amazon Redshift, Tableau, QuickSight, Python, and advanced Excel, as well as familiarity with AWS data services, is commonly required. Strong problem-solving, effective communication, and the ability to work cross-functionally are key soft skills for this position. These abilities support data-driven decisions, ensure clear stakeholder collaboration, and enable innovative solutions in a fast-paced environment.

What does a business intelligence engineer do at Amazon?

A Business Intelligence Engineer at Amazon designs and develops data analytics solutions, creates dashboards, and provides insights to support business decision-making. They work with large datasets, use tools like SQL and data visualization software, and collaborate with teams to improve operational efficiency and strategy.

What is an Amazon Business Intelligence Engineer job?

An Amazon Business Intelligence Engineer (BIE) analyzes complex datasets, builds dashboards, and develops scalable solutions to support data-driven decision-making. They collaborate with business leaders, data engineers, and software developers to provide insights that drive operational efficiency and business growth. BIEs use SQL, Python, and data visualization tools like Tableau or Quicksight to identify trends and optimize performance. The role requires strong analytical skills, business acumen, and the ability to translate data into actionable recommendations.

What is the salary of business intelligence engineer 2 in Amazon?

The salary for a Business Intelligence Engineer 2 at Amazon typically ranges from $100,000 to $130,000 annually, depending on experience and location. Compensation may also include bonuses and stock options, with the role requiring proficiency in data analysis tools like SQL and AWS services.

How much do business intelligence engineers make at Amazon?

Business Intelligence Engineers at Amazon typically earn between $100,000 and $150,000 annually, depending on experience, location, and level. Senior roles or those with specialized skills in data analysis, SQL, and cloud tools like AWS may have higher compensation. Total pay can also include bonuses and stock options.

What engineer makes $500,000 a year?

Senior-level engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or in executive roles.
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Business Intelligence Engineer, Amazon Shipping BI

Business Intelligence Engineer, Amazon Shipping BI

Amazon

Bellevue, WA • On-site

$57.50 - $74.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,921 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Amazon's global fulfillment network enables any merchant to ship items that are ordered on Amazon to any place on earth. There is a complex network of ways in which items move between vendor locations, Amazon warehouses, and customer locations as well as several intermediate locations through which packages travel before reaching the customer. With a scale of millions of packages, each with different attributes and delivery requirements, what results is a highly dense graph of nodes. We have built a highly respected BI and Data Engineering team which is focused on solving complex problems in worldwide transportation using workflows, optimization algorithms, and machine learning systems. These are large-scale distributed systems handling millions of packages being shipped through the Amazon logistics network. As a Business Intelligence Engineer, you will develop datasets, dashboards, reports, and visualizations using BI tools, and provide data-driven recommendations to support strategic planning within Amazon Shipping. Additionally, you will deliver across planned projects that will improve overall cost and profitability for the business.
Key job responsibilities
Data Management and Integration: Collect, process, and manage large datasets from various sources, ensuring data accuracy, consistency, and accessibility. Data Analysis: Analyze complex data sets to identify trends, patterns, and insights that can inform business decisions. Reporting and Visualization: Develop and maintain dashboards, reports, and visualizations to present data insights in an understandable and actionable format. Stakeholder Collaboration: Work closely with stakeholders to understand their data needs, provide data-driven recommendations, and support strategic planning. Tool and Technology Utilization: Utilize and stay updated with the latest BI tools and technologies to enhance data analysis and reporting capabilities.
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 1+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting 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
PREFERRED QUALIFICATIONS
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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 - 99,500.00 - 160,000.00 USD annually

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About Amazon

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Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US