Join Amazon's Performance Measurement team to revolutionize how we measure ad performance. As a Senior Business Intelligence Engineer, you'll be at the forefront of computing metrics that millions of advertisers use to assess their Amazon Ads spend impact. The role focuses on three key challenges: developing insightful performance measurement metrics, creating self-service research datasets/dashboards, and optimizing data infrastructure for faster feature launches.
You'll work with massive datasets, implementing solutions at internet scale, and develop innovative ways to validate metrics without ground truth. The position requires expertise in data analysis, visualization, and statistical insights, combined with the ability to translate complex data findings into actionable business decisions.
The team's mission is critical - providing performance metrics for every Amazon ad product user. You'll collaborate with Product Managers, software development teams, and other BIEs to implement analytics systems and support machine learning models. The role offers competitive compensation ranging from $117,300 to $202,800 based on location, plus equity and comprehensive benefits.
Key responsibilities include designing automated reporting systems, conducting data quality investigations, and implementing self-serve analytics tools. You'll need strong SQL skills, experience with large-scale data processing, and knowledge of data science and machine learning concepts. The ideal candidate combines technical expertise with business acumen, capable of working directly with stakeholders to translate data into business insights.
This position offers the opportunity to impact Amazon's advertising technology at scale, working with cutting-edge data systems while solving complex measurement challenges. You'll be part of a team that directly influences how millions of advertisers understand and optimize their advertising investments on one of the world's largest e-commerce platforms.