Amazon

Business Intelligence Engineer

Posted On

July 15, 2025

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Business Intelligence

Apply By

Aug. 5, 2025

Job Description

Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want – low prices, vast selection, and convenience – Amazon continues to grow and evolve as a world-class e-commerce platform.
Do you have solid analytical thinking, metrics-driven decision making and want to solve problems with solutions that will meet the growing worldwide need? Then SmartCommerce is the team for you. We are looking for top notch Business Intelligence Engineer to be part of our analytics team.

The ideal candidate will be curious, have attention to detail, be energized by challenging entrepreneurial environment, be comfortable thinking big while also diving deep. Are you a smart, hungry, flexible, and world-class analytics professional excited by the challenge of launching a new business initiative for Amazon?
SmartCommerce team is looking for Business Intelligence Engineer to be part of a new team being built from the ground up. They will be primarily working on our product SmartBiz. SmartBiz by Amazon is a one-stop shop for Indian sellers to fulfill their online selling needs. Whether a small business, an entrepreneur, or a neighborhood store, a seller can now create their own e-commerce store within minutes and start showcasing and selling their products online.

Key job responsibilities
1. Responsible for designing, building and maintaining complex data solutions for Amazon's SmartCommerce businesses
2. Actively participates in the code review process, design discussions, team planning, operational excellence, and constructively identifies problems and proposes solutions
3. Makes appropriate trade-offs, re-use where possible, and is judicious about introducing dependencies
4. Makes efficient use of resources (e.g., system hardware, data storage, query optimization, AWS infrastructure etc.)
5. Asks correct questions when data model and requirements are not well defined and comes up with designs which are scalable, maintainable and efficient
6. Makes enhancements that improve team’s data architecture, making it better and easier to maintain (e.g., data auditing solutions, automating, ad-hoc or manual operation steps)
7. Owns the data quality of important datasets and any new changes/enhancements
- 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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