Amazon

Senior Business Intelligence Engineer, RBS Selection Value

Posted On

Dec. 11, 2025

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Business Intelligence

Apply By

Dec. 30, 2025

Job Description

Are you passionate about leveraging evolving LLM technology to solve one of Amazon's most fundamental challenges? Do you want to be build products to fix gaps that impact a product's performance? As the Senior Business Analyst for the RBS Selection Value team (winner of the 2025 Amazon Door Desk Award), you'll shape the future of how Amazon teams understand and act on products at unprecedented scale.

Key job responsibilities
As a Business Intelligence Engineer in RBS Selection Value Team, you will be responsible for analyzing data to identify product value drop-off, developing scalable solutions for prevention. In addition you will be responsible for building AI-LLM models to predict and identify opportunities to maximise a products potential.

Responsibilities:
- Understand the requirements of stakeholders and map them with the data sources/data warehouse
- Design and develop highly available dashboards and metrics using Tableau, Excel and SQL.
- Execute high impact LLM models
- Perform business analysis and data queries using scripting languages like R, Python etc.
- Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.)

A day in the life
You'll operate at the intersection of evolving LLM technology and real-world business impact. A typical day might include:
1) Working closely with Amazon teams to understand their feedback analysis needs, and build solutions to maximise value
2) Defining platform features and requirements for upcoming releases
3) Collaborating with Data Scientists and Engineers to build and optimize our offerings
4) Analysing platform metrics to identify performance optimization opportunities
5) Contributing to technical design reviews for new features
6) Reviewing customer feedback and usage patterns to guide product evolution- 10+ years of professional or military experience
- 5+ years of SQL 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
- Bachelor's degree or equivalent

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