Sr. Business Intelligence Engineer, ASP Ops WWSO Sales & Biz Ops
Share
Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
Are you excited about the cloud computing industry and leveraging data analytics and AI technologies and methodologies Are you interested in driving business decisions through data analysis reporting and KPIs Do you want to work on a team of Business Intelligence Engineers and Data Engineers to solve AWSs most complex business problems through data products
Were looking for someone who possesses a solid BI engineering background familiar with maintaining large data sets building the datasets needed for analyzing information identifying key business insights and working with stakeholders in generating the right metrics to define and measure this role you will be a technical expert with significant scope and impact. You will work with Sales Operation Leaders Product Managers and other business users to understand the business requirements and implement reporting solutions. The individual must have the ability to earn trust and communicate effectively across multiple technical and non-technical business units in a global organization. Candidates should possess a keen sense of ownership collaboration and desire to learn. Above all the candidate should be passionate about bringing large datasets together to answer business questions and drive change.
In this role you will own the design and delivery of data products that drive how Specialist measure performance and prioritize customer engagements. You will help drive the teams adoption of AI and Agentic technologies designing and building autonomous agents RAG pipelines and multi-agent orchestration frameworks that transform how the organization consumes and acts on data. You will help define the technical vision for the teams data platform and Agentic AI roadmap. You will raise the technical bar through code reviews design reviews and sharing best practices.
The right candidate has deep experience in SQL and data modeling hands-on proficiency with AWS data and analytics services and direct experience building with LLMs Agentic Frameworks and RAG architectures. You are comfortable translating ambiguous business questions into structured data products. You communicate clearly with both technical and non-technical
audiences.
Key job responsibilities
- Architect and develop scalable and resilient data solutions using both traditional dashboards and AI Agents enabling self-service business intelligence for analytics users.
- Build ETL pipelines statistical models and machine learning solutions using large multidimensional datasets to uncover trends patterns and opportunities.
- Partner with business owners tech and central teams to integrate machine-learning generative AI and automation into scaling our programs and processes
- Collaborate with product managers engineers data scientists and business stakeholders to understand strategies goals and objectives and align the analytics roadmap accordingly.
- Design and implement end-to-end reporting solutions metrics dashboards and automated processes to drive key business decisions and track progress.
- Perform complex analyses to inform product strategy design and business priorities presenting insights and recommendations to senior leadership.
- Continuously improve reporting and processes automating and scaling solutions while ensuring stability and performance.
- Identify opportunities for new metrics techniques and strategies to enhance targeting measurement and overall product capabilities.
- Stay up-to-date with industry trends and best practices contributing to the teams evolution through Agentic AI.
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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.
Why 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 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.
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.
About Sales Marketing and Global Services (SMGS)
AWS Sales Marketing and Global Services (SMGS) is responsible for driving revenue adoption and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.
- 10 years of professional or military experience
- 5 years of SQL experience
- Experience programming to extract transform and clean large (multi-TB) data sets
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing analyzing and communicating results to senior leadership
- Masters degree in statistics data science or an equivalent quantitative field
- Experience using Cloud Storage and Computing technologies such as AWS Redshift S3 Hadoop etc.
- Experience with statistical analytics and programming languages such as R Python Ruby etc.
- Experience visualizing data in Tableau or other relevant data visualization software
- Experience in machine learning data mining information retrieval statistics or natural language processing or experience in computer architecture
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.
Were looking for someone who possesses a solid BI engineering background familiar with maintaining large data sets building the datasets needed for analyzing information identifying key business insights and working with stakeholders in generating the right metrics to define and measure this role you will be a technical expert with significant scope and impact. You will work with Sales Operation Leaders Product Managers and other business users to understand the business requirements and implement reporting solutions. The individual must have the ability to earn trust and communicate effectively across multiple technical and non-technical business units in a global organization. Candidates should possess a keen sense of ownership collaboration and desire to learn. Above all the candidate should be passionate about bringing large datasets together to answer business questions and drive change.
In this role you will own the design and delivery of data products that drive how Specialist measure performance and prioritize customer engagements. You will help drive the teams adoption of AI and Agentic technologies designing and building autonomous agents RAG pipelines and multi-agent orchestration frameworks that transform how the organization consumes and acts on data. You will help define the technical vision for the teams data platform and Agentic AI roadmap. You will raise the technical bar through code reviews design reviews and sharing best practices.
The right candidate has deep experience in SQL and data modeling hands-on proficiency with AWS data and analytics services and direct experience building with LLMs Agentic Frameworks and RAG architectures. You are comfortable translating ambiguous business questions into structured data products. You communicate clearly with both technical and non-technical
audiences.
Key job responsibilities
- Architect and develop scalable and resilient data solutions using both traditional dashboards and AI Agents enabling self-service business intelligence for analytics users.
- Build ETL pipelines statistical models and machine learning solutions using large multidimensional datasets to uncover trends patterns and opportunities.
- Partner with business owners tech and central teams to integrate machine-learning generative AI and automation into scaling our programs and processes
- Collaborate with product managers engineers data scientists and business stakeholders to understand strategies goals and objectives and align the analytics roadmap accordingly.
- Design and implement end-to-end reporting solutions metrics dashboards and automated processes to drive key business decisions and track progress.
- Perform complex analyses to inform product strategy design and business priorities presenting insights and recommendations to senior leadership.
- Continuously improve reporting and processes automating and scaling solutions while ensuring stability and performance.
- Identify opportunities for new metrics techniques and strategies to enhance targeting measurement and overall product capabilities.
- Stay up-to-date with industry trends and best practices contributing to the teams evolution through Agentic AI.
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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.
Why 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 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.
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.
About Sales Marketing and Global Services (SMGS)
AWS Sales Marketing and Global Services (SMGS) is responsible for driving revenue adoption and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.
- 10 years of professional or military experience
- 5 years of SQL experience
- Experience programming to extract transform and clean large (multi-TB) data sets
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing analyzing and communicating results to senior leadership
- Masters degree in statistics data science or an equivalent quantitative field
- Experience using Cloud Storage and Computing technologies such as AWS Redshift S3 Hadoop etc.
- Experience with statistical analytics and programming languages such as R Python Ruby etc.
- Experience visualizing data in Tableau or other relevant data visualization software
- Experience in machine learning data mining information retrieval statistics or natural language processing or experience in computer architecture
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.
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 TX Austin - 130400.00 - 176300.00 USD annually
USA TX Dallas - 130400.00 - 176300.00 USD annually
USA WA Seattle - 130400.00 - 176300.00 USD annually
Required Experience:
Senior IC
About Company
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa Devices, sporting goods, toys, automotive ... View more
