Business Intelligence Engineer, AWS Regions Finance

Amazon


Job Location:

Seattle, WA - USA

Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

The AWS Regions Finance team has a broad range of responsibilities from driving existing business performance to recommending INTL infrastructure expansion. We operate across the full P&L to identify risks and opportunities. We push the boundaries of how to measure and manage the AWS business inventing metrics and using our platform to align L10 leaders on controllable inputs.

We are looking for someone whos an expert with SQL ETL and more generally data wrangling. A track record of moving fast to adopt GenAI tools with a passion and proven ability to teach others are required. The successful candidate will need to be comfortable with ambiguity in a fast-paced and ever-changing environment and able to think big while paying careful attention to this role you will need to deeply understand the business and will be expected to partner directly with customers to answer key business questions and drive outcomes.

Key job responsibilities
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
- Drive data democratization throughout the organization enabling others to self-serve their data needs

- 5 years of SQL ETL or Oracle experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Bachelors degree or equivalent in Finance Business Economics Mathematics or other highly quantitative fields
- Experience with data modeling warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing analyzing and communicating results to senior leadership
- 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 for more information. If the country/region youre applying in isnt 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 VA Arlington - 130400.00 - 176300.00 USD annually
USA WA Seattle - 130400.00 - 176300.00 USD annually


Required Experience:

IC

The AWS Regions Finance team has a broad range of responsibilities from driving existing business performance to recommending INTL infrastructure expansion. We operate across the full P&L to identify risks and opportunities. We push the boundaries of how to measure and manage the AWS business invent...

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