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Amazon Business Intelligence Engineer Jobs (NOW HIRING)

Business Intelligence Engineer , GTMO DATA

Seattle, WA · On-site

$58 - $75.50/hr

At Amazon Business, a fast-growing startup passionate about building solutions, we set out every ... As a Business Intelligence Engineer , you will work with our Sales team to create analytical tools ...

Business Intelligence Engineer , GTMO DATA

Seattle, WA · On-site

$58 - $75.50/hr

At Amazon Business, a fast-growing startup passionate about building solutions, we set out every ... As a Business Intelligence Engineer , you will work with our Sales team to create analytical tools ...

Business Intelligence Engineer , GTMO DATA

Seattle, WA · On-site

$58 - $75.50/hr

At Amazon Business, a fast-growing startup passionate about building solutions, we set out every ... As a Business Intelligence Engineer , you will work with our Sales team to create analytical tools ...

As IMDb employees, we enjoy the best of both worlds - all benefits and resources of Amazon with the ... IMDb is looking for an experienced and motivated Business Intelligence Engineer (BIE) to unlock key ...

As IMDb employees, we enjoy the best of both worlds - all benefits and resources of Amazon with the ... IMDb is looking for an experienced and motivated Business Intelligence Engineer (BIE) to unlock key ...

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Amazon Business Intelligence Engineer information

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$29

$57

$79

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

As of Jun 12, 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, develops, and maintains data analytics solutions to support decision-making. They work with large datasets, use tools like SQL and data visualization software, and collaborate with teams to improve business processes and performance insights.

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.

How much does a business intelligence engineer make at Amazon?

A Business Intelligence Engineer at Amazon typically earns between $100,000 and $150,000 annually, depending on experience, location, and level within the company. Compensation may also include bonuses and stock options, and strong skills in data analysis tools like SQL and Tableau are often required.

What is the salary of business intelligence engineer L4 in Amazon?

The salary for an Amazon Business Intelligence Engineer L4 typically ranges from $100,000 to $130,000 annually, depending on experience and location. Compensation may also include bonuses, stock options, and benefits, with the role requiring strong data analysis skills and proficiency in tools like SQL and Tableau.

How much does Amazon pay AI engineers in the US?

Amazon Business Intelligence Engineers typically earn between $100,000 and $160,000 annually, depending on experience and location. Compensation may also include bonuses, stock options, and benefits, with higher salaries often associated with advanced skills in data analysis, machine learning, and cloud platforms like AWS.
More about Amazon Business Intelligence Engineer jobs
What cities are hiring for Amazon Business Intelligence Engineer jobs? Cities with the most Amazon Business Intelligence Engineer job openings:
What are the most commonly searched types of Amazon Business Intelligence Engineer jobs? The most popular types of Amazon Business Intelligence Engineer jobs are:
What states have the most Amazon Business Intelligence Engineer jobs? States with the most job openings for Amazon Business Intelligence Engineer jobs include:
Infographic showing various Amazon Business Intelligence Engineer job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, 1% Part Time, 3% Contract, and 2% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $118,660 per year, or $57 per hour.
Business Intelligence Engineer , GTMO DATA

Business Intelligence Engineer , GTMO DATA

Amazon

Seattle, WA • On-site

$58 - $75.50/hr

Full-time

Posted 4 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,843 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Come be a part of a rapidly expanding $35 billion dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive.

At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries.

Unlock your career potential.
At Amazon, we're working to be the most customer-centric company on earth. To expand that mission, we're now helping businesses and other institutional buyers purchase the products they need at Amazon, through a fast-growing initiative known as Amazon Business (AB). After a successful US launch in 2015, we have achieved a $10 billion annualized run rate in 2018 and are working to move faster and better satisfy current and potential business customers

Our aim is to be the world's best procurement provider for institutions of any size in any area that we serve.
As a Business Intelligence Engineer , you will work with our Sales team to create analytical tools that will ultimately be a key driver in driving the growth of the company. You will leverage our data to drive operational efficiencies, provide key data-driven insights, enable new opportunities and innovate on behalf of business customers. You will drive future solutions that will impact how we capture new customers and delight our existing ones, and you'll have a lot of fun along the way


Your responsibilities will include:
- Developing the next generation data & analytics infrastructure to enable Amazon Business to support its customers and sales teams
- Generating actionable insights through the development of metrics, dashboards and deep dive analyses
- Providing customer insights as new initiatives are being identified, prioritized, implemented and deployed
- Manage and execute entire components of large projects from start to finish including data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Amazon

Sourced by ZipRecruiter

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