Business Intel Engineer II, WWOS Strategy & Planning

We are looking to hire an insightful results-oriented Business Intelligence Engineer to produce and drive analyses for Worldwide Operations Security (WWOS) Team in Amazon. To keep our operations network secure and assure operational continuity we are seeking an experienced professional who wants to join our Business Insights team. This role involves translating broad business problems into specific analytics projects conducting deep quantitative analyses and communicating results effectively.

Key job responsibilities
Design and implement scalable data infrastructure solutions
Create and maintain data pipelines for metric tracking and reporting
Develop analytical models to identify Theft/Fraud trends and patterns
Partner with stakeholders to translate business needs into analytical solutions
Build and maintain data visualization dashboards for operational insights


A day in the life
As a Business Intelligence Engineer II you will collaborate with cross-functional teams to design and implement data solutions that drive business decisions. Your day might include analysing Theft & Fraud patterns building automated reporting systems or presenting insights to stakeholders. Youll work with petabyte-scale data sets and have the opportunity to influence strategic decisions through your analysis.

About the team
We are part of the Data Services team under the Risk & Resilience vertical in Worldwide Operations Security focusing on data analytics to support security and loss prevention initiatives. Our team collaborates across global operations to develop innovative solutions that protect Amazons assets and contribute to business profitability. We leverage technology to identify patterns prevent losses and strengthen our operational network.

- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- 2 years of Tableau Desktop Quicksight or other relevant data visualization software experience
- Bachelors degree or above in business administration finance economics computer science data science engineering or other related field or 2 years of Amazon RME (BB/3P) Full Time Exempt experience
- 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 using SQL (Structured Query Language) to pull data from a database or data warehouse

- Masters degree or above in BI finance engineering statistics computer science mathematics or equivalent quantitative field
- Knowledge of Microsoft Excel at an advanced level including: pivot tables macros index/match vlookup VBA data links etc.
- 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
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.