Business Intelligence Engineer, AWS Compliance & Security Assurance

Amazon Web Services (AWS); Seattle (WA); On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

RSUs

Health insurance

401(k) matching

Paid time off

Parental leave

Sign-on payments

Job summary

Amazon Web Services, Inc. is seeking an experienced Business Intelligence Engineer within the Data Engineering and Analytics team. You will own analytics solutions, build scalable data pipelines, and apply AI-driven methods to surface actionable insights for AWS Security leadership.

You'll collaborate with Data Scientists, Data Engineers, and SDEs to transform large datasets into analytics-ready assets. The role emphasizes scalable BI, data quality, and proactive improvement recommendations

Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. 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

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.

Skills

Data analysis

SQL

ETL pipelines

Python scripting

Data visualization

Stakeholder communication

Education

Bachelor's Degree in Data Science, Statistics or related field

Tools

Tableau

Amazon QuickSight

ETL tooling

Job description

Description

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.

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.

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. We're looking for someone who transforms complex data into clear, actionable intelligence and communicates it effectively to stakeholders at every level.

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. If you're passionate about pushing the boundaries of what data and intelligent automation can do for security, we want to hear from you.

Key job 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

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

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. 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

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.

USA, WA, Seattle - 99,500.00 - 160,000.00 USD annually

Company: Amazon Web Services, Inc.