Business Intelligence Engineer, AWS Compliance & Security Assurance

We are the AWS Security Assurance Engineering (SAE) team. Our mission is to build and enhance mechanisms that continuously demonstrate 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.

About the role

As a Business Intelligence Engineer on the Data Engineering and Analytics team, you will build analytics solutions that directly impact decision-making across AWS Security. You'll own the development of essential metrics and measurement frameworks, design automated pipelines that handle data analysis at scale, and apply modern analytics techniques—including AI-assisted tooling and predictive capabilities—to surface insights that were previously out of reach. This role offers startup-like autonomy with enterprise impact: you'll challenge conventional approaches to analytics, explore emerging AI-driven methods to accelerate insight delivery, and build solutions that directly shape how security leaders inspect and operate their business.

Responsibilities

• Partner with business stakeholders to gather requirements, translate them into analytics solutions, and deliver actionable recommendations that inform decisions.
• Design, develop, and deploy production-grade data products—datasets, pipelines, dashboards, and measurement frameworks—with mandatory code reviews, data quality checks, anomaly detection, and monitoring to ensure reliability and reusability at scale.
• Apply AI-assisted techniques (e.g., intelligent anomaly detection, predictive analytics, natural-language interfaces) to deliver solutions that go beyond conventional BI approaches.
• Proactively identify business improvement opportunities through exploratory analysis and present evidence-based recommendations to leadership.
• Collaborate with SDEs, BIEs, Data Engineers, and Data Scientists to transform large, complex datasets into structured, analytics-ready assets that drive business outcomes.
• Simplify and modernize existing BI solutions to ensure they scale as business needs evolve.
• Contribute to team-wide analytics best practices—sharing methodologies, reviewing peers' work, and raising the bar on tooling and standards.

About the team

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.

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 build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.

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.

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.

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.

Requirements

Basic Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, or similar experience.
• 3+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience.
• Experience with data visualization using Tableau, Quicksight, or similar tools.
• Experience with data modeling, warehousing, and building ETL pipelines.
• Experience scripting for automation (e.g., Python, Perl, Ruby).
• Experience working directly with business stakeholders to translate between data and business needs.

Preferred Qualifications

• 7+ years of business intelligence and analytics experience.
• Experience developing, deploying, and managing AI products at scale.
• Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business.
• Bachelor’s Degree in Data Science, Statistics, or related field.
• Experience with AWS technologies such as S3, AWS Glue, Lambda, IAM, Bedrock, SageMaker, Step Functions.

Pay

The base salary range for this position is $99,500 - $160,000 USD annually. 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.

Benefits

• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and option for Supplemental life plans).
• Employee Assistance Program (EAP) and 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 amazon.jobs/en/benefits.