Business Intel Engineer I, FinOps
Pubblicato il 02-10-2026 - Amazon in Asti
Job ID: 10557558 | Amazon Digital Services Private Limited - M86
At Amazon, we're working to be the world's most customer-centric company. Driving innovation on behalf of customers is core to our mission. This is an exciting opportunity to join one of the most strategic, impactful, and fastest-growing areas within Amazon.
As a Business Intelligence Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You should have deep experience in the design, creation, management, and business use of large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. You should have skilled at designing, implementing, and operating stable, scalable, low-cost solutions to flow data from production systems into the data warehouse and into end-user-facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions.
Key job responsibilities
- Deliver standardized performance metrics for internal customers and stakeholders
- Provide operational bandwidth to Operations teams to focus on business partnering initiatives
- Partner with the program team in executing defined roadmap of projects
- Provide ad hoc support to operations team for SQL report creation, modification, and optimization
- Debug report issues, unblock workflows, and communicate with other teams and stakeholders by providing regular status updates
Tools used include
- SQL
- ETL tools (internal)
- Excel
- Tableau
- Power BI
- Quicksight
- Report scheduling tools (internal)
About the team
We're a team that supports Finance Operations - Accounts Payable, Accounts Receivable, Record-to-Report, and Tax Operations by working with product and software development teams to deliver tools and technologies that improve operational efficiency. We ide