Business Intelligence Engineer, Ahs Finance

Amazon Amazon · Big Tech · Seattle, WA · Business Intelligence

This role focuses on leveraging generative AI, LLMs, and ML to build intelligent analytics solutions for a finance team, replacing traditional reporting with AI-driven automation and insights. The engineer will build AI-powered tools, GenAI products, and AI agents for stakeholder self-service, aiming to transform data interaction and reporting workflows.

What you'd actually do

  1. Interface with finance leaders, product managers, data engineers and software developers, gather requirements and deliver complete analytics/reporting solutions.
  2. Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
  3. Make recommendations for new metrics, techniques, and strategies to improve profitability
  4. Improve Amazon Pharmacy’s capabilities/products and help business owners uncover hidden opportunities using data, analytics and machine learning.
  5. Understand business and product strategies, goals and objectives. Set the analytics roadmap to drive the goals of the business.

Skills

Required

  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience using SQL to pull data from a database or data warehouse
  • scripting experience (Python) to process data for modeling
  • Experience designing, building, and maintaining data pipelines and ETL processes
  • Design and build AI-driven automation for data pipelines, reporting workflows, and operational processes
  • Experience working directly with business stakeholders to translate ambiguous business questions into analytical frameworks

Nice to have

  • Experience working with Git or an equivalent distributed version control system
  • Experience with AWS data services (Redshift, Glue, Athena, S3)
  • Experience building GenAI/LLM-powered analytics solutions or AI-driven automation

What the JD emphasized

  • AI-first
  • generative AI
  • large language models
  • machine learning
  • AI-driven automation
  • AI-powered tools
  • AI-native approaches
  • AI-powered features
  • GenAI products
  • AI agents
  • intelligent solutions

Other signals

  • leverage generative AI, large language models, and machine learning to develop intelligent analytics solutions
  • replacing traditional reporting methods with AI-driven automation and insights
  • build AI-powered tools that transform how the team interacts with data and models
  • prioritizing AI-native approaches over conventional BI workflows
  • launch AI-powered features in our financial reporting engine
  • build GenAI products to drive automated insights
  • develop AI agents that enable stakeholder self-service
  • implement end-to-end intelligent solutions that replace manual reporting workflows