Business Intelligence Engineer, Demand Forecasting, Selling Partner Support

Amazon's Selling Partner Services team is seeking a Business Intelligence Engineer to join their Demand Forecasting division. This role sits at the intersection of data analytics and business strategy, focusing on creating and maintaining sophisticated forecasting models and analytical tools that drive key business decisions.

The position offers an exciting opportunity to work with Amazon's vast data ecosystem, applying advanced analytical techniques to solve complex business challenges. As a Business Intelligence Engineer, you'll be responsible for designing and implementing scalable analytics solutions, conducting deep-dive analyses, and translating data insights into actionable business recommendations.

The role requires a unique blend of technical expertise and business acumen. You'll need strong proficiency in SQL, Python, and various BI tools like Tableau or QuickSight, combined with experience in statistical analysis and forecast modeling. The ideal candidate should have at least 3 years of hands-on analytics experience and a proven track record of working with large-scale data sets.

Working within the Selling Partner Support ecosystem, you'll collaborate with various stakeholders, including Forecasting Managers, Economists, and other BIEs. Your work will directly impact Amazon's ability to provide world-class support to millions of selling partners worldwide. The team values diverse perspectives and fosters an inclusive environment where individual expression is encouraged.

The compensation package is competitive, ranging from $89,600 to $185,000 based on location and experience, plus additional benefits including equity, sign-on payments, and comprehensive medical coverage. This role offers significant growth potential within Amazon's data-driven culture and the opportunity to work on meaningful projects that directly impact Amazon's global selling partner community.

The position is based in Seattle, WA, and requires a bachelor's degree in a quantitative field. If you're passionate about using data to drive business decisions and want to work at the forefront of e-commerce analytics, this role offers an excellent opportunity to make a significant impact while advancing your career at one of the world's most innovative companies.