Business Intelligence Engineer II, AWS Analytics Engineering

Utility Computing (UC)
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.
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.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led 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 knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

AWS is looking for a highly respected Business Intelligence Engineer to join the AWS Analytics Engineering team. This is your opportunity to be a core part of the team that has direct impact on the day-to-day decision making in the many AWS Product teams like EC2 S3 Bedrock and Sagemaker.
Since early 2006 AWS has provided companies of all sizes with an infrastructure platform in the cloud. AWS is a high-growth fast-moving division within Amazon with a start-up mentality where new and diverse challenges arise every day. On the AWS Product BI team you will be surrounded by people that are exceptionally talented bright and driven and believe that world class BI is critical to our success. To help build this growing team you must be highly analytical and possess a strong passion for analytics and accountability set high standards with a focus on superior business success. We take working hard having fun and making history seriously. AWS sets the standard for functionality cost and performance for many cloud based services but its still early days for cloud computing and there are boundless opportunities to continue to redefine the world of cloud computing - come help us make history!

As a BI engineer on this team you will be responsible for generating new insights to help guide the strategic direction of our products and businesses. 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 work closely with the business and technical teams in analysis on many non-standard and unique business problems and use creative-problem solving to deliver actionable output. 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 reporting solutions enabling stakeholders to manage the business and make effective decisions.
- Develop and support the analytical technologies that give our customers timely flexible and structured access to their data.
- Design and implement an analytical environment using third-party and in-house reporting tools modeling metadata building reports and dashboards.
- Adopt and democratize data by building Generative AI agents to support business needs.
- Implement training and documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools.

About the team
Inclusive Team Culture
Here at AWS we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups reaching 40000 employees in over 190 chapters globally. We have innovative benefit offerings and host annual and ongoing learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazons culture of inclusion is reinforced within our 14 Leadership Principles which remind team members to seek diverse perspectives learn and be curious and earn trust.

Work/Life Balance
Our team puts a high value on work-life balance. It isnt about how many hours you spend at home or at work; its about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
This position involves on-call responsibilities typically for one week every two months. We dont like getting paged in the middle of the night or on the weekend so we work to ensure that our systems are fault tolerant. When we do get paged we work together to resolve the root cause so that we dont get paged for the same issue twice.

Mentorship & Career Growth
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 knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough but kind code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

- - Bachelors Degree in Computer Science or a related technical field and solid years of relevant experience.
- - 5 years of experience with and detailed knowledge of data warehouse technical architectures infrastructure components ETL/ ELT and reporting/analytic tools and environments data structures.
- - 5 years of experience with relational and star schema data modelling concepts with a solid knowledge of SQL and PL/SQL.
- - 2 years of large IT project delivery for BI oriented projects.
- - 2 years of working with very large data warehousing environment

- 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 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 $89600/year in our lowest geographic market up to $185000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.