Business Analyst - Decision Platform, RBS

We are building Amazon's first horizontal self-serve decisioning platform — an intelligence layer that upgrades static rule-based systems into outcome-learning, context-aware decision engines. The platform serves multiple tenants across multiple organizations and domains, each requiring structured onboarding, cross-org coordination, and production launch governance.

As a Business Analyst at Amazon, you will serve as a key analytical contributor working on complex business problems across multiple projects. This role combines execution with emerging strategic thinking to deliver data-driven solutions that influence business decisions. You'll work independently with limited guidance, leveraging advanced analytical tools and techniques to provide diagnostic analyses and generate insights that support team goals. The position requires strong technical skills in data analysis, excellent problem-solving capabilities, and the ability to communicate effectively with stakeholders up to senior leadership levels. You'll be responsible for optimizing analytical practices, streamlining business processes, and mentoring others while managing multiple priorities. This role offers the opportunity to drive significant impact through data-informed decisions and process improvements that support Amazon's customer-centric mission.

Key job responsibilities
The candidate will own the production and delivery of a suite of standard reports, tools regularly used by the organization to make key business decisions. This will involve:
1. Creating, supporting and continuously improving reports and metrics that support the business operations
2. Converting data into digestible business intelligence and actionable information using tools like Quicksight/Tableau
3. Shaping and delivering key metrics, reports, and indicators by which business can assess its performance
4. Diving deep into large data sets to answer specific business questions using Excel, SQL and other data manipulation languages and present findings and recommendations to senior leadership
5. Working directly with business teams to utilize metrics and analysis to determine improvement opportunities
Tools used include:
1. SQL (Redshift)
2. Excel Advanced VBA
3. Tableau/Quicksight
4. Report scheduling tools (internal)
5. AWS (S3, Lambda, Athena)


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 moving through the funnel has the data foundation needed to succeed.

You will work directly with platform tech and business (applied science, engineering, PgMs, and tenant-side stakeholders) to deliver analytical solutions — data readiness assessments, diagnostic deep-dives, performance reporting, and actionable business intelligence — that generate insights across multiple tenants and inform decisions on where to invest, where to course-correct, and when a tenant is ready for production.

Basic qualifications

- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- 5+ years of business analyst, data analyst or similar role experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience making business recommendations and influencing stakeholders
- Experience with Excel
- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL
- Experience conducting sophisticated and creative analysis of complex data and translate the results into actionable deliverables, messages, and presentations
- Experience in process improvement
- Experience in stakeholder management, including influencing executive level global leaders
- Experience in technical support, or experience that includes strong analytical skills, attention to detail, and effective communication abilities and experience in managing and troublshooting network
- Experience in SQL data manipulation
- Knowledge of visualization tools such as Tableau, Datazen, SSRS
- Basic understanding of statistical analysis

Preferred qualifications

- Master's degree in a related field
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in mentoring, leading, or managing more junior engineers
- Experience with Python or R programming
- Experience in e-commerce or retail analytics
- Prior experience working in a fast-paced, data-driven environment

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