Business Intelligence Engineer, Advertising Finance
Amazon
DESCRIPTION
Amazon seeks a business intelligence engineer to be a key partner for the Amazon Advertising business with a range of products offerings for advertisers. This role will focus on developing data infrastructure, defining metrics, and generating actionable product insights across the Demand Tech Experience (dXT) organization. We’re looking for a top technical and analytical mind capable of extracting value out of our large and disparate data sets. You will influence the direction of the business by leveraging our data to deliver insights that drive decisions, evolution of our products and the way they fit into Amazon's ecosystem. You will translate business problems into specific analytics projects, conducting deep quantitative analyses, and communicate results. You will own defining and developing new metrics, data pipelines to report them across Business reviews and dashboards, and share business and technical requirements with Engineering teams.
This role requires an individual with excellent business, communication, and technical skills, enabling collaboration with various functions, including finance leaders, product managers, software engineers, data scientists, as well as senior leadership. The successful candidate will be a self-starter comfortable with ambiguity, able to connect business and data well, with strong attention to detail, an ability to work in a fast-paced, high-energy and ever-changing environment. The drive and capability to shape the business and technical decisions is a must. We see a high potential for influence and growth in this role.
Key job responsibilities
• Build small- to mid-size business intelligence (BI) solutions – data sets, queries, reports, dashboards, analyses – or components of larger solutions to answer business questions with data.
• Use well-defined requirements to build a solution that enables effective, data-driven business decisions. Deliver end product on schedule.
• Create and populate data structures using one or more schema definition languages (e.g. DDL, SDL, XSD, RDF).
• Write secure, stable, testable, and maintainable code with minimal defects, and automate manual processes where possible.
• Use one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and, as needed, statistical methods (e.g. t-test, Chi-squared) to deliver actionable insights to stakeholders.
• Invent, refine, and develop BI solutions to ensure they meet the needs of the business and team goals.
• Troubleshoot data, analyses, and code, research root causes, propose solutions, and take ownership in next steps for their resolutions.
A day in the life
The Business Intelligence Engineer will closely work with product managers and finance team on analyses, automation, metric creation, and dashboard building. Active interface with Applied Science, Software Managers and BIE managers.
About the team
The Demand Tech Experience Finance team partners with product managers, software engineers, economists, data scientists, and financial analysts across the advertising organization, driving key mechanisms that support the rhythm of business. We generate insights to guide product strategy. We also provide direct business partnership and ongoing business performance measurement support to senior leaders.