Business Intelligence Engineer, AWS Finance, Analytics and Science Team

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

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC is hiring a Business Intelligence Engineer for the AWS Finance, Analytics and Science team in Seattle. You will collect requirements from business customers, design and maintain metrics, and enable self-serve data access across the organization using BI tools and AI-powered automation.

The role emphasizes data integrity, advanced analytics, and collaboration with Finance, Science, and Business teams to power decision making in a fast-paced AWS environment.

Qualifications

• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL experience.
• Experience with data visualization using Tableau, Quicksight, or similar tools.
• Experience with one or more analytics visualization tools and statistical methods.
• Experience with scripting language (e.g., Python, Java, or R).
• Master's degree or advanced technical degree.

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.

Skills

Redshift

Oracle

NoSQL

Python

Education

Master's degree or advanced technical degree

Tools

Tableau

Quicksight

Excel

PowerBI

MicroStrategy

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. Learn more about our benefits at https://amazon.jobs/en/benefits .

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
• parental leave

USA, WA, Seattle - 82,300.00 - 144,000.00 USD annually