Business Intelligence Engineer

Design, develop, and maintain robust data models to support analytical and product data needs across the organization Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and translate them into scalable data solutions Implement and optimize ETL/ELT processes to ensure data quality, reliability, and performance Own and define business KPIs, their measurement plans, data requirements and reporting Build processes to ensure correct, timely and reliable reporting Address ad-hoc reporting requirements and find pathways for automation Build and enforce common design patterns to increase report reusability, readability and standardization Build visually appealing, high-performing, and impactful reporting/dashboard products using tools like Tableau/Sigma across large data sets

DoorDash connects customers with local and national restaurants for on-demand food delivery. Operating mainly in the U.S. and expanding to Canada and Australia, it serves individual consumers seeking convenient meal options and restaurants wanting to reach more customers without extra infrastructure. The platform allows users to browse menus and place orders easily, which has become increasingly popular, especially during the COVID-19 pandemic. DoorDash operates a three-sided marketplace involving customers, restaurants, and delivery drivers, known as "Dashers." The company earns revenue by charging restaurants a commission for each order, as well as delivery and service fees to customers. This model effectively supports growth and enhances its presence in the food delivery market.