Sr. Business Intelligence Engineer, AWS Compliance & Security Assurance

The AWS Security Assurance Engineering (SAE) team's mission is to build and enhance mechanisms which continuously demonstrate that AWS meets and exceeds the high security and compliance bar expected by our customers, regulators, and auditors. We achieve this by proactively engaging service and control owners to identify, monitor, and drive remediation of risks across AWS. Our team builds tools and services that scale these capabilities globally — creating efficiencies for our teams while maintaining transparency for our customers.

We are seeking a Sr Business Intelligence Engineer for our Data Engineering and Analytics team to drive high-impact analytics solutions that support the organizational 10x growth strategy. In this role, you will design and deploy scalable data products and measurement frameworks that enable cross-functional stakeholders to make fast, data-driven decisions at scale. This role requires both strategic vision and hands-on technical execution — distilling complex data insights into actionable strategies and communicating them effectively to both technical and non-technical audiences. The ideal candidate is a self-starter who thrives with autonomy and ambiguity — someone who challenges conventional approaches to analytics and proactively seeks to deeply understand the business to advance its objectives. If you thrive in a dynamic environment that offers startup-like autonomy with enterprise impact, we want to hear from you.

Key job responsibilities
* Partner cross-functionally to gather requirements and deliver end-to-end analytics solutions — translating ambiguous business questions into structured analytical approaches, data models, and scalable self-service tools
* Collaborate with Software Development Engineers, Business Intelligence Engineers, Data Engineers, and Data Scientists to transform large, complex datasets into structured, analytics-ready insights that drive business outcomes
* Design, develop, and deploy production-grade data products — from datasets and pipelines to dashboards and measurement frameworks — enforcing mandatory code reviews, data quality checks, anomaly detection, and monitoring to ensure consistency, reliability, and reusability at scale
* Drive alignment on metrics definitions, measurement frameworks, taxonomy, and data governance across stakeholders
* Simplify and automate reporting, enabling stakeholders to self-serve at scale
* Leverage AI to deliver practical and sophisticated solutions, pushing beyond conventional analytics approaches
* Mentor and develop junior team members — establishing and driving best analytics practices across the team
* Communicate results, insights, and recommendations across all levels of the organization — from engineering teams to senior leadership — distilling complex findings into clear, actionable narratives tailored to each audience

About the team
Diverse Experiences
Amazon Security 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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why Amazon Security?
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.

Inclusive Team Culture
In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.

Training & 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, training, 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Basic Qualifications

- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with AWS technologies
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience working directly with business stakeholders to translate between data and business needs
- 5+ years of relevant professional experience in business intelligence, data engineering, or analytics engineering

Preferred Qualifications

- Experience managing, analyzing and communicating results to senior management
- Experience mentoring team members on best practices
- Experience leveraging technology to drive process improvements
- Experience with anomaly detection and automated monitoring frameworks for data products
- Bachelor's degree in a related technical field (e.g., Statistics, Mathematics, Economics, Engineering, etc.)
- Experience in the application of AI technologies to drive operational efficiencies and speed to insights
- Experience using AWS services such as S3, Glue, Redshift, Bedrock, Lambda, Step functions and SageMaker

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 https://amazon.jobs/en/benefits.