Business Research Analyst - II, RBS
Amazon
Business Research Analyst - II, RBS
Job Description
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. This role drive product pilots, demonstrating innovative thinking and customer focus. 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. The role requires thriving in ambiguous, fast-paced environments and working independently with AI models. Key job responsibilities • Collaborate with Applied Scientists to implement ML/LLM solutions that meet business goals • Conduct product pilots demonstrating customer obsession and innovation • 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 • Communicate technical concepts to stakeholders at all levels • Develop technical documentation for Design specifications, Algorithms, Implementation challenges and Performance metrics • Monitor and maintain existing solutions to ensure peak performance About the team 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.
Locations
- Bengaluru, Karnataka, India
Skills Required
- data visualization using Tableauintermediate
- data modelingintermediate
- Statistical Analysis packages such as Rintermediate
- SQL to pull data from a databaseintermediate
- SQLintermediate
- Python scripting to process data for modelingintermediate
- Strong hands-on programming skills in Pythonintermediate
- Sparkintermediate
- Microsoft Excel at an advanced levelintermediate
- AWS solutions such as EC2intermediate
- data miningintermediate
Required Qualifications
- 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, 2 years)
- Experience with data visualization using Tableau, Quicksight, or similar tools (experience)
- Experience with data modeling, warehousing and building ETL pipelines (experience)
- Experience in Statistical Analysis packages such as R, SAS and Matlab (experience)
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling (experience)
- Experience using SQL (Structured Query Language) to pull data from a database or data warehouse (experience)
- Experience using Python scripting to process data for modeling (experience)
- Experience in Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory. (experience)
Preferred Qualifications
- Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field (degree in above in bi)
- Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc. (experience)
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift (experience)
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets (experience)
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business (experience)
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