Business Intelligence Engineer, Zappos Buying and Planning

Zappos, a leading online retailer owned by Amazon, is seeking a Business Intelligence Engineer to join their Buying and Planning organization. This role combines technical expertise with business acumen, focusing on developing data-driven solutions that enhance decision-making processes.

The position offers a competitive salary range of $89,600 to $185,000, depending on location and experience. As a Business Intelligence Engineer, you'll be responsible for designing and implementing BI solutions that drive business efficiency and growth. The role involves creating both long-term automation solutions and short-term analytical tools to support evolving business needs.

Key responsibilities include developing insightful reporting on business drivers, creating flexible KPI models, and building data pipelines. You'll work with various stakeholders to understand business challenges and translate them into technical solutions. The role requires expertise in SQL, Python, and data visualization tools like Tableau.

The ideal candidate should have at least 3 years of experience in data analysis and a strong background in statistical analysis. You'll be working with large-scale datasets and will need to communicate complex findings effectively to different audiences. This position offers an opportunity to make a significant impact on Zappos' business operations while working with cutting-edge data technologies.

Working at Zappos means joining a company known for its customer-centric culture and innovative approach to retail. You'll be part of a team that values creativity, analytical thinking, and continuous improvement. The role offers exposure to various aspects of e-commerce operations and the chance to work with diverse datasets that drive business decisions.

The position is based in either Las Vegas, NV or New York, NY, and requires someone who can demonstrate Amazon's leadership principles, particularly Customer Obsession, Bias for Action, and Deliver Results. This is an excellent opportunity for a data professional looking to make a meaningful impact in a dynamic e-commerce environment.