Sr. BI Engineer, AWS Regions Finance
Amazon
Sr. BI Engineer, AWS Regions Finance
Job 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 - 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
Locations
- Seattle, Washington, United States
- Arlington, Virginia, United States
Salary
130,400 - 176,300 USD / yearly
Skills Required
- data visualization using Tableauintermediate
- data modelingintermediate
- Statistical Analysis packages such as Rintermediate
- SQL to pull data from a databaseintermediate
- AWS solutions such as EC2intermediate
- data miningintermediate
Required Qualifications
- 5+ years of SQL, ETL or Oracle experience (experience, 5 years)
- Experience with data visualization using Tableau, Quicksight, or similar tools (experience)
- Bachelor's degree or equivalent in Finance, Business, Economics, Mathematics, or other highly quantitative fields (degree in equivalent in finance)
- Experience with data modeling, warehousing and building ETL pipelines (experience)
- Experience in Statistical Analysis packages such as R, SAS and Matlab (experience)
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling (experience)
Preferred Qualifications
- Experience working directly with business stakeholders to translate between data and business needs (experience)
- Experience managing, analyzing and communicating results to senior leadership (experience)
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift (experience)
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets (experience)
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
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