Amazon

Business Intelligence Engr II, Regulatory Intelligence Safety and Compliance, Global Data Analytics

Posted On

Jan. 15, 2026

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Business Intelligence

Apply By

Feb. 24, 2026

Job Description

If you have ever bought a product from Amazon, then chances are Regulatory Intelligence Safety & Compliance has helped protect you as a customer. The global analytics team is looking for a data ninja to join an exciting team defining a global roadmap to design and deliver impactful solutions for Amazon retail team World Wide. This role will focus on protecting customers when we sell products that come under the digital services act.

We are seeking a highly motivated Business Intelligence Engineer with a passion to work with complex problems to create the best user experience for all stakeholders. You are passionate about providing insights from data and have experience in working with large data sets. You are organized, efficient and insist on the highest standards. You are an independent self-starter who thrives on owning projects. You will be required to make important decisions on defining, building, and scaling data processes and reports. You will work directly with stakeholders and other data and tech professionals to solve ambiguous problems.

Key job responsibilities
• Create mechanisms for non-technical stakeholders to self-serve data including during urgent issue management
• Scope and deliver strategic projects to accelerate the success of the safety programs supported
• Look for opportunities to simplify and automate redundant processes
• Take the problems of stakeholders and help them understand technical solutions which can be delivered
• Leverage a combination of AWS services, internal data services, and AI-based tooling and solutions to deliver data products and simplification
• Partner with technical teams on end to end data solutions, focusing on data pipelines that power core reporting and dashboarding solutions- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 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

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