Business Intelligence Engineer, RBS ACES

Business Intelligence Engineer

We are looking for a customer-obsessed Business Intelligence 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 include:

- 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 learning the latest AWS technologies to provide new capabilities and increase efficiencies.

- Mentoring the team on analytics best practices.

A day in the life includes:

- 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.