BI Engineer, AWS Finance, Analytics and Science Team

Amazon Web Services (AWS); Seattle (WA); On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

Health insurance (medical, dental, and

401(k) matching

Paid time off

Job summary

Amazon.com Services LLC is hiring a creative, analytical BI Engineer to join the ACES/BI teams in Seattle. You will work with stakeholders to gather requirements, design metrics, and deliver data-driven insights that optimize sales operations and performance.

Strong SQL, Python, ETL, and data-wrangling skills are essential, with comfort in ambiguity and a fast-paced environment. Ideal candidates collaborate well with Finance and Business teams, own end-to-end data solutions, and leverage AI to

Qualifications

• 3+ years analyzing data with Redshift, Oracle, NoSQL.
• Experience with data modeling, warehousing and ETL pipelines.
• Experience using Python to process data for modeling.
• SQL to pull data from a database and Python scripting to process data.

Responsibilities

• Gather requirements from business customers and deliver complete data analytical solutions.
• Own the design, development, and maintenance of ongoing metrics and analyses used to drive key business decisions.
• Recognize and adopt best practices for data integrity, accuracy, and documentation.
• Leverage AI and emerging innovation to automate workflows and uncover patterns.
• Drive data democratization so teams can self-serve their data needs.

Skills

SQL

Python

Data modeling

ETL pipelines

Data wrangling

Communication

Tools

AWS Redshift

Oracle

NoSQL

ETL tools

Job description

Description

AWS is one of Amazon's largest and fastest-growing businesses, serving millions of customers in more than 190 countries. We use cloud computing to reshape the way global enterprises leverage information technology.

AWS is one of Amazon's largest and fastest-growing businesses, serving millions of customers in more than 190 countries. We use cloud computing to reshape the way global enterprises leverage information technology.

The AWS Central Economics & Science (ACES) team drives best practices for objectively applying economics and science to decision‑making across AWS. Partnering with Finance, Science, and Business teams, ACES identifies, frames, and analyzes complex, ambiguous problems of the highest priority.

The ACES Business Intelligence (BI) team supports strategic decision‑making across the AWS global organization, delivering data‑driven insights that power sales operations and business performance optimization.

We are looking for a creative, analytical, and enthusiastic Business Intelligence Engineer to join us.

The ideal candidate is an expert in SQL, ETL, and general data wrangling, with exemplary communication skills. They thrive in ambiguity within a fast‑paced, evolving environment and can think big while maintaining careful attention to detail. They are passionate about business intelligence tools and skilled at partnering with stakeholders to answer key business questions.

Key job responsibilities

• Work with business customers to gather requirements and deliver complete data analytical solutions
• Learn why customers are asking for data and what their underlying questions and business goals are
• Own the design, development, and maintenance of ongoing metrics and analyses used to drive key business decisions
• Recognize and adopt best practices, including data integrity, accuracy, and reliability, as well as documentation
• Leverage AI and emerging innovation in data infrastructure to automate repetitive workflows, accelerate analyses, and unlock new patterns from complex datasets
• Drive data democratization throughout the organization, enabling others to self‑serve their data needs

Basic Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience using Python scripting to process data for modeling
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

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

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

Company

Amazon.com Services LLC

Job ID: A10505525