Security BI Engineer: AI-Powered Compliance Analytics

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

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