Business Intel Engineer II, WWOS Strategy & Planning

Description

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. You'll 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 Amazon's assets and contribute to business profitability. We leverage technology to identify patterns, prevent losses, and strengthen our operational network.

Basic Qualifications

- 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
- Bachelor's 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

Preferred Qualifications

- Master's 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

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