DESCRIPTION
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.
BASIC QUALIFICATIONS
5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. 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 developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Experience writing complex SQL queries
Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
Experience with Generative AI technologies, including prompt engineering, working with LLM APIs (e.g., Amazon Bedrock, OpenAI, Anthropic), or building AI-powered analytics applications
Familiarity with GenAI frameworks and tools such as LangChain, vector databases, or embedding models for semantic search and retrieval
PREFERRED QUALIFICATIONS
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
Relentless curiosity and drive to explore emerging trends and technologies in the field
Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.