Business Intel Engineer I, FinOps

Full Job Description

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 be 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 The successful candidate will need to effectively communicate across all levels and be self-motivated to raise the bar on deriving insights from analytics and identify opportunities to delight the customers. Above all, you should be passionate about bringing large datasets together to answer business questions and drive change.This role will own the production and delivery of a suite of analytics reports and dashboards used by the organization to make key business decisions. This will involve:

• 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 identify opportunities to enhance existing tools based on business requirements, build small-scale automation, create reports and dashboards, and provide analytics support. Our team combines subject matter experts with deep operational knowledge and business analysts who translate requirements into practical solutions, making us uniquely positioned to deliver technology-driven improvements that address real business needs.

Why join us - If you enjoy working at the intersection of operations and technology, solving real business problems, and making an impact through automation and analytics, you'll fit right in with our team.

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

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.

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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)