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Temporary Amazon Business Intelligence Engineer Jobs

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 ...

Business Intelligence Engineer, WHS Data

Bellevue, WA · On-site

$57.50 - $74.75/hr

At Amazon, the Leadership Principle "Strive to be Earth's Best Employer" challenges us to create "a ... The WHS Data team is hiring a Business Intelligence Engineer (BIE). The Data team spans the ...

Business Intelligence Engineer

Brea, CA · On-site

$100K - $125K/yr

Business Intelligence Engineer Job Location: Brea, CA - Hybrid Position Job Summary: (list 5 primary responsibilities) In this role, your primary responsibilities are (but not limited to): * Build ...

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Temporary Amazon Business Intelligence Engineer information

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

As of Jul 23, 2026, the average hourly pay for temporary 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 is the difference between Temporary Amazon Business Intelligence Engineer vs Temporary Data Analyst?

AspectTemporary Amazon Business Intelligence EngineerTemporary Data Analyst
Required skillsData modeling, SQL, BI tools, AWSData cleaning, Excel, SQL, visualization
Work environmentTech-focused, cloud-based, fast-pacedOffice or remote, analytical, reporting
Industry usageAmazon, e-commerce, techVarious industries, retail, finance, healthcare

The Temporary Amazon Business Intelligence Engineer focuses on building and maintaining data systems and dashboards using BI tools and cloud platforms like AWS. In contrast, the Temporary Data Analyst primarily interprets data, creates reports, and supports decision-making through data visualization. Both roles require SQL skills, but the BI Engineer emphasizes data architecture and automation, while the Data Analyst emphasizes data interpretation and presentation.

What cities are hiring for Temporary Amazon Business Intelligence Engineer jobs? Cities with the most Temporary 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 Temporary Amazon Business Intelligence Engineer jobs? States with the most job openings for Temporary Amazon Business Intelligence Engineer jobs include:
Business Intelligence Engineer, Listing Analytics

Business Intelligence Engineer, Listing Analytics

Amazon

Seattle, WA • On-site

$58 - $75.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,002 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Are you looking for a role that allows you to shape the future of how sellers sell their products globally with Amazon? Do you like working in a start-up like environment with the opportunity to have a significant impact from day 1? Do you have an insatiable curiosity about why Amazon global stores operate as they do and how Amazon could optimize its global selling business? If so, then keep reading as this could be the role for you.
Over 2MM active sellers in 22 countries (and growing) list their products for sale on the Amazon stores. Sellers are a critical part of Amazon's ecosystem to deliver on our vision of offering the earth's largest selection and lowest prices.
As a Business Intelligence Engineer (BIE) on Listing Analytics team, you will be responsible for bringing data to the table, specifically seller anecdotes and business metrics. The ideal candidate thrives in working in large and complex data warehouse environments, has excellent verbal and written communication skills, is motivated by developing innovative and simplified solutions to solve complex analytical problems and is passionate about working with large data sets and bringing data together to answer business questions and drive change. These analyses and solutions will be fundamental to finding opportunities and creating new programs aimed at further growing on Amazon stores. In this role you will:
• Engage with leadership and diversified customer groups to understand the needs and recommend business intelligence solutions.
• Partner with engineering teams to define the data elements and data structures that the team should leverage to develop critical seller experience metrics.
• Design, implement, and support platforms that provide business teams ad-hoc access to large datasets for self service deep dives (eg: data visualization tools for non-tech business users)
• Interface with business customers, gather requirements and deliver complete reporting solutions.
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
• Participate in strategic & tactical planning discussions
• Standardize data and report consumption across all customer groups.
• Make recommendations for new metrics, techniques, and strategies to improve the operational and quality metrics.
• Be connected and influential within the Amazon BIE community. Work with data engineering, software development teams to enable the appropriate capture and storage of key data points.
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience with data visualization using Tableau, Quicksight, or similar tools
- 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
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
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 - 99,500.00 - 160,000.00 USD annually

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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