Sr Business Intelligence Engineer AWS Analytics Engineering
Sr Business Intelligence Engineer AWS Analytics Engineering
Posted on :
19-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Yearly Salary
$ 117300 - 202800
Vacancy
1 Vacancy
Posted on :
19-04-2025
Job 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 Amazons 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 worlds largest and most complex data warehouse environments. You will create scalable solutions across AWS services automate reporting systems and develop selfservice analytics capabilities. Working closely with product and business leaders you will solve complex business problems and drive analytics strategy. This role requires a selfstarter who excels in ambiguous fastpaced environments possesses strong attention to detail and collaborates effectively with crossfunctional teams. The ideal candidate must have strong attention to detail and proven experience delivering results with crossfunctional teams.
Our team is serious about great design and redefining best practices with a cloudbased approach to scalability and automation. A successful candidate will be a selfstarter comfortable with ambiguity with strong attention to detail an ability to work in a fastpaced and everchanging environment and an ability to work effectively with crossfunctional 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 thirdparty and inhouse 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 selfservice 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 Amazons Simple Storage Service (S3 and Amazon Elastic Compute Cloud (EC2 to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll support the development and management of Compute Database Storage Internet of Things (Iot) Platform and Productivity Apps services in AWS including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were building an environment that celebrates knowledgesharing and mentorship. Our senior members enjoy oneonone mentoring and thorough but kind code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
About AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Bachelors Degree in Information System Computer Science or a related technical field.
8 years of experience analyzing and interpreting data with Redshift Oracle NoSQL etc.
5 years of experience with data visualization using Tableau Quicksight or similar tools
5 years of experience with data modeling warehousing and building ETL pipelines
Experience with AWS technologies such as EC2 DynamoDB S3 and Redshift
Experience in data mining ETL etc. and using databases in a business environment with largescale complex datasets
Extensive experience working directly with business leadership and executives.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 for more information. If the country/region youre applying in isnt 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 $117300/year in our lowest geographic market up to $202800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
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 worlds largest and most complex data warehouse environments. You will create scalable solutions across AWS services automate reporting systems and develop selfservice analytics capabilities. Working closely with product and business leaders you will solve complex business problems and drive analytics strategy. This role requires a selfstarter who excels in ambiguous fastpaced environments possesses strong attention to detail and collaborates effectively with crossfunctional teams. The ideal candidate must have strong attention to detail and proven experience delivering results with crossfunctional teams.
Our team is serious about great design and redefining best practices with a cloudbased approach to scalability and automation. A successful candidate will be a selfstarter comfortable with ambiguity with strong attention to detail an ability to work in a fastpaced and everchanging environment and an ability to work effectively with crossfunctional 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 thirdparty and inhouse 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 selfservice 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 Amazons Simple Storage Service (S3 and Amazon Elastic Compute Cloud (EC2 to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll support the development and management of Compute Database Storage Internet of Things (Iot) Platform and Productivity Apps services in AWS including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were building an environment that celebrates knowledgesharing and mentorship. Our senior members enjoy oneonone mentoring and thorough but kind code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
About AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Bachelors Degree in Information System Computer Science or a related technical field.
8 years of experience analyzing and interpreting data with Redshift Oracle NoSQL etc.
5 years of experience with data visualization using Tableau Quicksight or similar tools
5 years of experience with data modeling warehousing and building ETL pipelines
Experience with AWS technologies such as EC2 DynamoDB S3 and Redshift
Experience in data mining ETL etc. and using databases in a business environment with largescale complex datasets
Extensive experience working directly with business leadership and executives.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 for more information. If the country/region youre applying in isnt 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 $117300/year in our lowest geographic market up to $202800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
