We are looking for a customer-obsessed Business Intel Engineer that thrives in a culture of data-driven decision making who will be responsible to help us hold a high bar for RBS ACES


Key job responsibilities
This individual will be responsible for driving/creating:
- Leveraging Generative AI tools and Large Language Models (LLMs) to automate data analysis, generate insights, and create natural language summaries of complex datasets
- Building and deploying GenAI-powered analytics solutions to enhance self-service capabilities and accelerate decision-making
- Developing prompt engineering strategies and RAG (Retrieval-Augmented Generation) pipelines to integrate GenAI with existing data infrastructure
- Experimenting with foundation models (e.g., Amazon Bedrock, SageMaker JumpStart) to solve business intelligence challenges
- Experience working with large, multi-dimensional datasets from multiple sources
- Make recommendations for new metrics, techniques, and strategies to improve the operational and quality metrics.
- Proficient using at least one data visualization product (Tableau, Qlik, Amazon QuickSight, Power BI, etc.)
- Experience in deployment of Machine Learning and Statistical models
- Building new Python utilities and maintaining existing ones
- Enabling more efficient adhoc queries & analysis
- Working closely with research scientists, business analysts and product leads to scale data
- Ensuring consistency between various platform, operational, and analytic data sources to enable faster and more efficient detection and resolution of issues
- Exploring and learn the latest AWS technologies to provide new capabilities and increase efficiencies
- Mentoring the team on analytics best practices


A day in the life
- Working closely with cross-functional teams including Product/Program Managers, Software Development Managers, Applied/Research/Data Scientists, and Software Developers
- Building dashboards, performing root cause analysis, and sharing actionable insights with stakeholders to enable data-informed decision making
- Leading reporting and analytics initiatives to drive data-informed decision making- Designing, developing, and maintaining ETL processes and data visualization dashboards using Amazon QuickSight
- Transforming complex business requirements into actionable analytics solutions.


About the team
Retail Business Service accelerates WW Amazon Stores growth by improving customer and Selling Partner experiences while optimizing costs. Our three-fold charter: 1) Detect and fix customer shopping impediments, 2) Grow SP business profitably including scaled tier-2/3 management, 3) Reduce Cost-to-Serve across Stores P&L
RBS ACES transforms organizational capability through four pillars: Org Excellence, People Excellence, Continuous Improvement, and Innovation. The team proactively solves internal challenges via systematic defect identification and data-driven frameworks. Through various programs, ACES positions RBS as Amazon's benchmark organization.