Amazon

Senior Business Intelligence Engineer

Posted On

July 9, 2025

Location

Bangalore, Karnataka

Experience Level

Freshers/Experienced

Job Type

Business Intelligence

Apply By

July 29, 2025

Job Description

The JP Economics and Decision Science team is a central science team working across a variety of topics in the Retail business and beyond. We work closely with business leaders to drive change at Amazon. We focus on solving long-term, ambiguous and challenging problems, while providing advisory support to help solve short-term business pain points. Key topics include pricing, product selection, delivery speed, profitability, and customer experience. We tackle these issues by building novel economic/econometric models, machine learning systems, and high-impact experiments which we integrate into business, financial, and system-level decision making.

We are looking for a Business Intelligence Engineer to work alongside our Scientists to build statistical and ML models, and working directly with senior leaders to tackle their most critical problems in Retail business.

Key job responsibilities
* Drive business changes through data insights to drive change across a wide range of retail business inputs
* Explore/analyze data and work with Product Managers to understand customer behaviors, develop complex data pipelines
* Work closely with our scientists to design scalable model architectures. Identify appropriate metrics and feature sets for the problem, and build/maintain automated pipelines for their extraction
* Fostering culture of continuous engineering improvement through mentoring and feedback- 10+ years of professional or military experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining

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