Business Intelligence Engineer, Ads Sales Finance Analytics
New York
Wednesday, 20 May 2026
Unlock the Power of Data to Transform Advertising Insights. We're seeking a brilliant data storyteller who can turn complex information into strategic business decisions. As a key partner in our Global Advertising Sales organization, you'll be the analytical powerhouse who transforms raw data into compelling narratives that drive our advertising ecosystem forward. Key job responsibilities. Build comprehensive business intelligence solutions, including data sets, queries, reports, and interactive dashboards. Develop robust data structures using advanced schema definition languages. Create secure, maintainable code that automates complex analytical processes. Utilize advanced visualization tools to translate complex data into actionable insights. Troubleshoot and resolve data-related challenges with innovative solutions. A day in the life. Your day will be a dynamic blend of data exploration, collaborative problem-solving, and innovative thinking. You'll dive deep into datasets, craft visualization tools, and work closely with business stakeholders to uncover meaningful insights that shape our advertising strategies. About the team. We're a collaborative group of data enthusiasts passionate about leveraging analytics to drive advertising excellence. Our team is at the forefront of transforming how Amazon approaches advertising insights, creating tools that empower decision-makers across the organization. Basic Qualifications- 2 years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with relational and star schema data modeling concepts- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, Quick. Sight, MicroStrategy, Power. BI) and statistical methods (e.g. t-test, Chi-squared)- Experience with scripting language (e.g., Python, Java, or R)- Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports. Preferred Qualifications- Master's degree, or Advanced technical degree- Knowledge of data modeling and data pipeline design- Experience with statistical analysis, co-relation analysis.