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Sr. Business Intelligence Engineer, Measurement, Ad Tech, and Data Science (MADS)

Amazon

Amazon

Operations, Data Science
Seattle, WA, USA
Posted on May 29, 2025

DESCRIPTION

Join us to upend how we measure performance of ads. Our team computes metrics that millions of advertisers use to assess the impact of their spend on Amazon Ads. We constantly innovate our measurement techniques. You’ll take the lead in tackling 3 hard problems, (1) what metrics give the right insight into the state of performance measurement techniques, (2) what datasets and dashboards enable scientists/PM-Ts/economists to self service research a new measurement feature, (3), which cuts of data let engineering teams launch new measurement features faster and cheaper. You will identify, automate and explain.

A successful candidate loves finding insights in data and enabling others to do so. You’ll explore and identify the appropriate data sources, bring them together to enable the right conclusions. You’ll lean on your existing abilities to ask questions of data, and learn how to do that at internet scale. You’ll invent ways to validate metrics for which there’s no ground truth. You’ll force multiply through other BIEs and data engineers in the team.



Key job responsibilities
• Design, develop and maintain scaled, automated, user-friendly systems, reports, and dashboards enabling stakeholders to manage the business and make effective decisions.

• Drive data-driven decision-making through compelling narratives that seamlessly integrate data analysis, visualizations, and statistical insights.

• Work with Product Managers in understanding the business requirements and implementing solutions to support product plans

• Conduct ad hoc data analysis and data quality investigations.

• Implement training and documentation solutions that enable stakeholders to get the most out of our self-serve analytics tools.

• Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data.

• Defining, developing and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis

• Analysis of historical data to extract meaningful insights from large and complex data sets to identify trends and support decision making, including written and verbal presentation of results and recommendations

• Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning models

• Understanding of Amazon’s data resources, which to use, how, and when


About the team
Performance Measurement team computes attribution and incrementality metrics that advertisers use to assess the effectiveness of their spend in ads. We provide performance metrics that are reported to every single user of every Amazon ad product, and more.