Amazon's Strategic Account Services (SAS) organization is seeking a Senior Business Intelligence Engineer to drive data-driven improvements in the Amazon customer experience. This role combines technical expertise in data engineering, analytics, and machine learning with business acumen to support selling partners and enhance business performance. The position offers an opportunity to work with Amazon's extensive data warehouse, developing automated forecasting models and insights that directly impact decision-making and strategy.
The role requires a seasoned professional who can handle complex problem-solving, lead technical initiatives, and communicate effectively with senior leadership. You'll be responsible for building and maintaining data pipelines, creating forecasting models, and conducting sophisticated analyses using various statistical techniques. The work directly influences how Amazon services its sellers and improves business performance.
Working in Seattle, WA, you'll join a dynamic team that values innovation and customer-centric thinking. The compensation is competitive, ranging from $117,300 to $202,800 per year, depending on location and experience, plus additional benefits and potential equity. This position combines technical depth with business strategy, requiring someone who can thrive in Amazon's data-driven culture while delivering tangible results that impact the global seller ecosystem.
The ideal candidate will have 10+ years of professional experience, strong SQL and Python skills, and expertise in data science and machine learning. You'll work with multi-terabyte datasets, AWS technologies, and complex analytical tools while collaborating with various stakeholders to drive business growth and seller success.