We're seeking a Research Analyst leader to collaborate the development of an intelligent decision-making platform that will transform how Amazon makes operational decisions. You'll build scalable solutions, write high-quality code, and develop state-of-the-art AI models. You'll coordinate between science and software teams, optimizing solutions. Collaborate with Applied Scientists to implement ML/LLM solutions that meet business goals

Develop scalable solutions by writing high-quality code, building ML/LLM models using current research breakthroughs and implementing performance optimization techniques

Act as a bridge between science and software teams to deliver optimized solutions

Develop technical documentation for Design specifications, Algorithms, Implementation challenges and Performance metrics

Monitor and maintain existing solutions to ensure peak performance

We operate at the intersection of product, science, and GTM — building a platform that connects decision systems across Amazon so that one signal makes all of them smarter. The platform is live with founding tenants, scaling to broad GA, and building pipeline for pan-Amazon adoption. This role is critical to ensuring that every tenant that enters the funnel moves through onboarding with velocity, quality, and trust.

You will work directly with platform leadership, applied science, engineering, BAs, and tenant-side stakeholders to drive the operational machinery that turns platform readiness into production impact — one tenant at a time, then many in parallel.

Bachelor's degree or above in business administration, finance, economics, computer science,



data science, engineering, or other related field, or 2+ years of Amazon RME (BB/3P) Full Time Exempt experience

Experience with data visualization using Tableau, Quicksight, or similar tools

Experience with data modeling, warehousing and building ETL pipelines

Experience in Statistical Analysis packages such as R, SAS and Matlab

Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Experience using SQL (Structured Query Language) to pull data from a database or data warehouse

Experience using Python scripting to process data for modeling

Experience in Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory.

Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field

Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

Experience in data mining, ETL, etc. and using databases in a business workplace with large-scale, complex datasets

Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information.

📌 Business Intelligence Research Analyst (Bengaluru)
🏢 Amazon Robotics
📍 Bengaluru