Business Intelligence Engineer II, Account Integrity

Have you ever thought about what it takes to protect hundreds of millions of Amazon customers from having their accounts compromised? At Amazon's Account Integrity Team (AIT), we are on the front lines of detecting and preventing account security threats — from Account Takeover (ATO) to the broader landscape of credential abuse, unauthorized access, and emerging attack vectors that make up some of the most sophisticated and evolving threats in e-commerce fraud.

We are looking for a Business Intelligence Engineer to join our Buyer Risk Prevention (BRP) team, focused on our account security charter. In this role, you will own the analytical backbone of our account security detection and prevention programs. This includes building enforcement metrics to evaluating the effectiveness of rule-based and ML-driven interventions across millions of sign-in and account events globally.

You will be the analytical authority for performance measurement and program insights. You will work closely with Science, Tech, Product, and Operations teams to translate complex fraud signals into actionable strategies. Beyond measurement, you will design and build the GenAI infrastructure that powers the next generation of our analytics. This role will stand up the pipelines, tools, and automation that let the team apply large language models and generative AI to fraud detection, investigation, and insight generation at scale.

Key job responsibilities
- Deep diving business trends, analyzing anomalies and guiding business decision-making through data
- Building dashboard/scalable metric tracking mechanisms
- Working closely with Business and Operations teams to find ways to mitigate bad actor attacks
- Ensuring that the team works backwards from the customer problem using data

About the team
The Account Integrity’s mission is to prevent bad actors from using the Amazon brand or Amazon accounts to harm customers, sellers, and the Amazon business.

Basic Qualifications

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 3+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 3+ years of developing automated reporting experience
- 3+ years of in the job offered or a related occupation experience
- 3+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience in Statistical Analysis packages such as R, SAS and Matlab

Preferred Qualifications

- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

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