amazon

amazon

Posted via Amazon Jobs

Business Intelligence Engineer, AHS Finance

Posted Aug 6, 2026

Role at a glance

Salary
$99.5K – $160K/yr
Location
Seattle, Washington, United States
Work arrangement
On-site
Employment
Full-time
Education
Bachelor's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field

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Role Summary

AI-generated

The AI-first Business Intelligence Engineer will join Amazon Health's Pharmacy Finance team to develop AI-powered analytics and financial reporting solutions. The role focuses on using generative AI, machine learning, and data analytics to automate reporting, generate insights, and support business decision-making.

What You'll Do

  • Interface with finance leaders, product managers, data engineers, and software developers to gather requirements and deliver analytics...
  • Design, develop, and maintain metrics, reports, analyses, and dashboards.
  • Make recommendations for new metrics, techniques, and strategies to improve profitability.
  • Use data, analytics, and machine learning to improve Amazon Pharmacy capabilities and uncover business opportunities.
  • Set the analytics roadmap based on business and product strategies, goals, and objectives.
  • Own analytics for one or more product areas and lead planning, execution, delivery, and stakeholder management.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Required

  • Bachelor's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience using SQL to pull data from a database or data warehouse and 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

Preferred

  • 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

Original job description

Content provided by the employer

At Amazon Health, we want to make it dramatically easier for people to get and stay healthy. We believe in the best possible health experiences for our customers, and the Amazon Health Finance team works with the business team to make this vision a reality. Have dreams of working in a start-up environment? Join the Amazon Health Finance team. If you’re a builder and looking to invent - this is the place for you!

We are looking for an AI-first Business Intelligence Engineer to join our team. Working within the Pharmacy Finance team, you will leverage generative AI, large language models, and machine learning to develop intelligent analytics solutions, replacing traditional reporting methods with AI-driven automation and insights. You will build AI-powered tools that transform how the team interacts with data and models, prioritizing AI-native approaches over conventional BI workflows.

Key job responsibilities
You know and love working with business intelligence tools, can build statistical models using multidimensional data sets and can partner with business owners to answer key questions. You know and love working with AI and machine learning technologies, can build intelligent solutions using generative AI and foundation models, and can partner with business owners to answer key questions faster and more effectively than traditional methods allow. You are analytical, innovative, creative, disruptive, and you don’t give up. In this role you will have an opportunity to launch AI-powered features in our financial reporting engine, build GenAI products to drive automated insights, develop AI agents that enable stakeholder self-service, and implement end-to-end intelligent solutions that replace manual reporting workflows.

A day in the life
- Interface with finance leaders, product managers, data engineers and software developers, gather requirements and deliver complete analytics/reporting solutions.
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
- Make recommendations for new metrics, techniques, and strategies to improve profitability
- Improve Amazon Pharmacy’s capabilities/products and help business owners uncover hidden opportunities using data, analytics and machine learning.
- Understand business and product strategies, goals and objectives. Set the analytics roadmap to drive the goals of the business.
- Own the analytics for one or more product areas, lead planning, execution and delivery of projects for that area(s), manage stakeholders and internal customer/client needs/requests

About the team
You will be joining a high-performing, fast-paced Finance team whose mission is to be the trusted strategic advisor to the business, driving profitable growth and scale through innovation. You will have a direct impact on our top and bottom line with the ability to deliver improvements for our teams. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work and you will see direct business improvements based on the results of your work.

Basic Qualifications

- Bachelor's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience using SQL to pull data from a database or data warehouse and 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

Preferred Qualifications

- 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.



USA, WA, Seattle - 99,500.00 - 160,000.00 USD annually
amazon

About the company

amazon

Large Enterprise

Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.