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Job Details
Posted date: Jun 11, 2025
There have been 180 jobs posted with the title of Business Intelligence Engineer all time at Amazon.There have been 180 Business Intelligence Engineer jobs posted in the last month.
Location: Seattle, WA
Estimated salary: $137,300
Range: $89,600 - $185,000
Description
Amazon is investing heavily in building a world class Advertising business and at AdPT (Advertising Products & Technology) we are responsible for defining and delivering a collection of performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and a bias for action.With AdPT you will have the satisfaction of seeing your work positively affect multi-billion dollar advertising business and significantly impact the Amazon vision. You will have opportunities to experiment and innovate, grow your technical skills and work in an environment that thrives on creativity, experimentation, and product innovation.
The Analytics & Data Management team (ADM) is looking for an exceptional Business Intelligence Engineer who is passionate about data and the insights that large amounts of data can provide, who thinks/acts globally, and who has the ability to contribute to major novel innovations in the industry. The role will focus on working with a team of Data Engineers, Business and tech-savvy professionals to lay down scalable data architecture to ingest large amounts of structured and unstructured datasets and work with stakeholders to drive business decisions based on these datasets.
The ideal candidate will possess both a BI background and a strong business acumen that enables him/her to think strategically and add value to the customer experience. He/She will experience a wide range of problem solving situations, requiring extensive use of data collection and analysis techniques such as data mining and machine learning.
The successful candidate will work with multiple global site leaders, Business Analysts, Software Developers, Database Engineers, Product Management in addition to stakeholders in sales, finance, marketing and service teams to create a coherent customer view. They will:
- Partner with analysts across teams such as product management, operations, sales, finance, marketing and engineering to build and verify hypothesis to improve the business performance
- Manage weekly business reports via dashboards, and paper daily, weekly, and monthly performance reporting by formulating KPIs
- Design, build, and maintain automated reporting, dashboards, and ongoing analysis to enable data driven decisions across our team and with partner teams
- Identify, develop, manage, and execute queries across multiple data sets to uncover areas of opportunity and present written business recommendations
- Report key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy trends that impact the business
- Collaborate with product, technical, and operational leaders to gather data and metrics requirements
- Retrieve and analyze data using a broad set of Amazon’s data technologies and resources, knowing how, when, and what to use
- Write high-quality SQL/Python code to retrieve and analyze data from databases (e.g. Redshift, EMR, Athena, etc.)
- Manage and execute entire projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations
- Scope, build and own technical data warehouse processes to help the business scale
Qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. 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
Extended 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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