Role Overview
This role is part of DoorDash’s commitment to increase the representation of women in technology. The Analytics Engineer will build and scale data models, pipelines, and self-service analytics across the organization.
What You Will Do
Design, develop, and maintain robust data models to support analytical and product data needs. Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and translate them into scalable data solutions.
Why It Might Be a Fit
The ideal candidate will have 3+ years of experience in business intelligence, data analytics, or a similar role, with strong SQL skills and experience with data modeling techniques.
Requirements
- 3+ years experience working in business intelligence, data analytics, Data engineering or a similar role
- Strong SQL skills and experience with data modeling techniques (e.g., dimensional modeling, 3 Nf, data vault)
- Proficiency in a programming language such as Python or Scala
- Experience building reporting and dashboarding solutions using data lake/Snowflake or similar ecosystem
- Expert in Database fundamentals, SQL and performance tuning
- Excellent communication skills and experience working with technical and non-technical teams
Benefits
- Comprehensive benefits and perks
- Opportunity to shape world-class logistics technology
- Chance to grow your career in Brazil
- Chance to work with a diverse team of people from all backgrounds, experiences, and perspectives
To apply for this job please visit job-boards.greenhouse.io.
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