Amazon

Business Intel Engineer I, WWOS Strategy & Planning

Posted On

July 28, 2025

Location

Bangalore, Karnataka

Experience Level

Freshers/Experienced

Job Type

Investigation & Loss Prevention

Apply By

Aug. 19, 2025

Job 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 – I, 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 Business Insights team under the Strategy 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.- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)

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