Analytics Engineer

DoorDash, a leading technology and logistics company, is seeking an Analytics Engineer to join their Data Engineering team. This role is crucial in building the foundation of DoorDash's data-driven decision-making process, focusing on developing and maintaining robust data models and pipelines that power their three-sided marketplace of consumers, merchants, and dashers.

The ideal candidate will have 3+ years of experience in data analytics or engineering, with strong SQL skills and proficiency in Python or Scala. You'll be responsible for designing and implementing data models, optimizing ETL/ELT processes, and creating comprehensive reporting solutions using tools like Tableau and Sigma.

This position offers an exciting opportunity to work at the intersection of technology and logistics, where you'll collaborate with cross-functional teams to translate complex business requirements into scalable data solutions. You'll own the definition and measurement of business KPIs, ensure data quality and reliability, and build automated reporting processes that serve the entire organization.

DoorDash offers a dynamic, fast-paced environment where you'll have the chance to make a significant impact on the company's growth. They're committed to fostering an inclusive workplace and provide comprehensive benefits focusing on employee well-being. As part of a rapidly growing company that's expanding beyond food delivery into all goods delivery, you'll have numerous opportunities for professional growth and development.

The role combines technical expertise with business acumen, requiring someone who can think strategically while delivering practical solutions. You'll be part of a team that's building the world's most reliable on-demand logistics engine, making this an excellent opportunity for someone passionate about data and its power to drive business success.