Analytics Engineer - Brazil

DoorDash, a leading technology and logistics company, is seeking an Analytics Engineer for their Brazil operations based in São Paulo. This role is crucial in building and maintaining the data foundation that powers DoorDash's three-sided marketplace of consumers, merchants, and dashers.

The position sits within the Data Engineering team, which is responsible for creating database solutions for various critical use cases including reporting, product analytics, marketing optimization, and financial reporting. As an Analytics Engineer, you'll be at the forefront of developing reliable aggregation layers and reporting structures that meet DoorDash's growing business needs.

The role requires a blend of technical expertise and business acumen, with responsibilities ranging from designing data models and implementing ETL/ELT processes to building visually appealing dashboards. You'll work closely with data engineers, data scientists, and business stakeholders to translate complex data requirements into scalable solutions.

Key technical requirements include strong SQL skills, proficiency in Python or Scala, and experience with modern data warehousing platforms. The ideal candidate should have at least 3 years of experience in business intelligence or data analytics, with expertise in database fundamentals and performance tuning.

This is a hybrid position requiring 1-2 days in the office per week at their location on Paulista Ave in São Paulo. The role offers the opportunity to work with large datasets and impact decision-making across the organization while being part of a company that's expanding beyond food delivery into becoming a comprehensive logistics platform for any and all goods.

DoorDash offers comprehensive benefits and perks, and maintains a strong commitment to diversity and inclusion. They actively seek team members who can bring unique perspectives and contribute to their mission of empowering local economies. The position requires English proficiency as interviews will be conducted in English.