What are the responsibilities and job description for the Business Intelligence Engineer, AWS Regions Finance position at Amazon Web Services (AWS)?
Description
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 who's 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 detail. In 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
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, VA, Arlington - 130,400.00 - 176,300.00 USD annually
USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually
Company - Amazon Web Services, Inc.
Job ID: A10438909
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 who's 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 detail. In 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
- Bachelor's 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
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, VA, Arlington - 130,400.00 - 176,300.00 USD annually
USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually
Company - Amazon Web Services, Inc.
Job ID: A10438909