Amazon's Strategic Account Services (SAS) team is seeking a Senior Business Intelligence Engineer to drive data-driven improvements in seller experience and business performance. This role combines technical expertise with business acumen to deliver impactful insights.
The position involves working with large-scale data sets and developing automated forecasting models to enhance operational excellence. You'll be at the forefront of Amazon's data-driven culture, directly influencing decision-making and strategy through sophisticated analysis and insights.
Key responsibilities include building and maintaining data pipelines, conducting complex analyses, and developing automated forecasting models. You'll work with multi-TB datasets, employ advanced statistical techniques, and translate technical findings into actionable business recommendations.
The ideal candidate brings 10+ years of professional experience, with deep expertise in SQL, Python, and AWS technologies. Strong skills in experimental design, statistical analysis, and machine learning are essential. You'll need excellent communication skills to present findings to senior leadership and collaborate across teams.
This role offers competitive compensation ($117,300-$202,800 based on location) plus equity and comprehensive benefits. You'll work from Seattle, contributing to Amazon's mission of improving customer experience through data-driven innovation.
Join a team that values ownership, customer obsession, and innovative problem-solving. You'll have the opportunity to shape the future of Amazon's seller services while working with cutting-edge data technologies and methodologies.
The position combines technical depth with business impact, offering growth opportunities and the chance to work on complex challenges at scale. If you're passionate about data, love solving complex problems, and want to make a real impact on global e-commerce, this role offers an exciting opportunity to do so at one of the world's leading technology companies.