Sr. Business Intelligence Engineer, AWS Analytics Engineering
Listed on 2026-02-07
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IT/Tech
Data Engineer, Data Analyst
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11 months
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Duration
11 months
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Job title: Sr. Business Intelligence Engineer, AWS Analytics EngineeringCompany: Amazon
Job description
: DESCRIPTION
AWS is looking for a Senior Business Intelligence Engineer to join the AWS Analytics Engineering (AAE) team. This is your opportunity to be part of a team that has direct impact on foundational cloud services such as Amazon Elastic Compute Cloud (EC2), Amazon’s Simple Storage Service (S3), Amazon Q Developer, Serverless, Databases, Networking and many more
As a Senior BI engineer on this team, you will get the exciting opportunity to work on very large data sets in one of the world’s largest and most complex data warehouse environments. You will create scalable solutions across AWS services, automate reporting systems, and develop self-service analytics capabilities. Working closely with product and business leaders, you will solve complex business problems and drive analytics strategy.
This role requires a self-starter who excels in ambiguous, fast-paced environments, possesses strong attention to detail, and collaborates effectively with cross-functional teams. The ideal candidate must have strong attention to detail and proven experience delivering results with cross-functional teams.
Our team is serious about great design and redefining best practices with a cloud-based approach to scalability and automation. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and an ability to work effectively with cross-functional teams.
Key job responsibilities
- Work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.
- Design and implement large scale reporting solutions enabling stakeholders to manage the business and make effective decisions.
- Design and implement robust data models to automate generation of data driven actionable insights across multitude of AWS services.
- Design and implement an analytical environment using third-party and in-house reporting tools, modeling metadata, building reports and dashboards.
- Recognize and use advanced analytical techniques to recommend prescribed/ optimized courses of action to users.
- Define and drive team analytical strategy to best support business leaders and executives’ strategic decisions.
- . Apply automation so that with every iteration on a problem, you build your solution to have maximum scale and self-service ability by stakeholders
- Employ Gen AI, segmentation, forecasting and other analytical techniques to capture important trends
- Mentor junior engineers on the team with industrial standards and best practices.
About the team
AWS Utility Computing (UC) provides product innovations – from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet…
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