Sr. Business Intelligence Engineer , T&C Strategy and Operations
Amazon
Full-time
On-site
Austin, Texas, United States
The AWS Training and Certification (T&C) organization educates customers, partners, and AWS employees on AWS services, products, and solutions. As part of the T&C Business Insights & Analytics team, you will be responsible for designing, developing, and maintaining advanced business intelligence (BI) solutions that provide key stakeholders with actionable insights to drive strategic decision-making. This senior-level role requires deep expertise in building complex data models, integrating multiple data sources, and creating sophisticated analytical dashboards and reports for AWS Training and Certification (T&C) organization.
Key job responsibilities
• Lead the design and development of an enterprise-wide BI architecture, ensuring scalability, reliability, and security of the BI ecosystem
• Develop robust and efficient ETL (Extract, Transform, Load) processes to integrate data from various sources into a centralized data warehouse or data lake
• Create advanced data models using techniques like star schema, snowflake schema, or data vault modeling to enable complex analytical capabilities
• Implement cutting-edge BI tools and technologies (e.g., Tableau, QuickSights) to build interactive, visually-appealing, and user-friendly dashboards and reports
• Perform complex data analysis and create custom algorithms to uncover hidden insights, patterns, and trends in large and diverse data sets
• Collaborate with cross-functional teams (e.g., data engineers, data scientists, business analysts) to define BI requirements, identify data sources, and optimize data pipelines
• Provide technical leadership and mentorship to junior BI team members, sharing best practices and driving continuous improvement
• Stay up-to-date with the latest BI trends, tools, and methodologies, and recommend new solutions to enhance the company's BI capabilities
• Ensure the BI solution meets the organization's data governance, security, and compliance requirements
• Communicate technical concepts and insights to non-technical stakeholders in a clear and compelling manner
About the team
ABOUT AWS:
Diverse Experiences
Amazon 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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
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, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s 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 and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 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
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Key job responsibilities
• Lead the design and development of an enterprise-wide BI architecture, ensuring scalability, reliability, and security of the BI ecosystem
• Develop robust and efficient ETL (Extract, Transform, Load) processes to integrate data from various sources into a centralized data warehouse or data lake
• Create advanced data models using techniques like star schema, snowflake schema, or data vault modeling to enable complex analytical capabilities
• Implement cutting-edge BI tools and technologies (e.g., Tableau, QuickSights) to build interactive, visually-appealing, and user-friendly dashboards and reports
• Perform complex data analysis and create custom algorithms to uncover hidden insights, patterns, and trends in large and diverse data sets
• Collaborate with cross-functional teams (e.g., data engineers, data scientists, business analysts) to define BI requirements, identify data sources, and optimize data pipelines
• Provide technical leadership and mentorship to junior BI team members, sharing best practices and driving continuous improvement
• Stay up-to-date with the latest BI trends, tools, and methodologies, and recommend new solutions to enhance the company's BI capabilities
• Ensure the BI solution meets the organization's data governance, security, and compliance requirements
• Communicate technical concepts and insights to non-technical stakeholders in a clear and compelling manner
About the team
ABOUT AWS:
Diverse Experiences
Amazon 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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
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, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s 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 and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 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
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.