Business Intelligence Engineer, AWS Finance, Analytics and Science Team

Amazon Inc.; Seattle (WA); On-site; USD 82,000 - 144,000; Full time

Benefits offered by this job

Health insurance

RSUs

Paid time off

Parental leave

Job summary

Amazon.com Services LLC is seeking a creative and analytical Business Intelligence Engineer for the AWS ACES BI team in Seattle. You will gather requirements, design end-to-end data analyses, and enable stakeholders with data-driven insights to optimize business performance.

The role emphasizes SQL, ETL, data wrangling, and strong communication in a fast-paced environment, with opportunities to apply AI to automate workflows and drive data democratization.

Qualifications

• 2+ years of experience analyzing data with SQL-based systems and data warehouses.
• Experience with BI visualization tools (Tableau, QuickSight, PowerBI) and statistical methods.
• Proficiency in scripting languages (Python, R, or Java) and data wrangling best practices.

Responsibilities

• Gather requirements from business customers and deliver data analytical solutions.
• Understand underlying business questions behind data requests and goals.
• Own design, development, and maintenance of ongoing metrics and analyses for key decisions.
• Adopt data governance practices, ensure data integrity and documentation.
• Leverage AI/automation to streamline analyses and reveal patterns in complex data.
• Promote data democratization and self-service across teams.

Skills

Analytical mindset

Strong communication

Ambiguity handling

Education

Master's degree or Advanced technical degree

Tools

SQL

Tableau

Quicksight

PowerBI

Python

R

Java

ETL

Job description

Business Intelligence Engineer, AWS Finance, Analytics and Science Team

Job ID: 10562548 | Amazon.com Services LLC

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

• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
• Experience with scripting language (e.g., Python, Java, or R)

Preferred Qualifications

• Master's degree, or Advanced technical degree
• Knowledge of data modeling and data pipeline design
• Experience with statistical analysis, co-relation analysis

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 - 82,300.00 - 144,000.00 USD annually

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.