Analytics Engineer - Brazil– Vaga para mulheres

DoorDash; São Paulo; Presencial; BRL 90 000 - 130 000; Tempo integral

Resumo da oferta

DoorDash is seeking an Analytics Engineer in São Paulo, Brazil, to build and scale data models, optimizing reporting and analytics across the organization. The role emphasizes collaboration with cross-functional teams to meet data needs and ensure high quality and performance of data models. Candidates should have over 3 years of relevant experience, strong SQL and programming skills (Python/Scala), and the ability to work in a fast-paced environment. DoorDash values inclusivity and encourages applications from individuals with disabilities.

Qualificações

• 3+ years experience in business intelligence, data analytics, or similar role.
• Strong SQL skills and experience with data modeling techniques.
• Proficiency in a programming language such as Python or Scala.

Responsabilidades

• Design, develop, and maintain data models for analytical needs.
• Collaborate with teams to translate data requirements into solutions.
• Implement ETL/ELT processes to ensure data quality.

Conhecimentos

SQL

Data analytics

Data modeling

Python

ETL processes

Ferramentas

Tableau

Snowflake

DataBricks

Looker

Descrição da oferta de emprego

DoorDash is looking for an Analytics Engineer to build and scale data models, pipelines, and self‑service analytics across the organization. In this role, you'll focus on developing a reliable aggregation layer and reporting structure that meets our growing business needs, enabling teams to access and analyze data independently.

Responsibilities

• 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

Qualifications

• 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, 3NF, 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
• Comfortable working in fast‑paced environment, self‑starter and self‑organizing
• Ability to think strategically, analyze and interpret market and consumer information

Nice to Haves

• Experience with real‑time data processing and streaming technologies
• Experience with modern data warehousing platforms (e.g., Snowflake, DataBricks, Redshift) and knowledge of data visualization tools (e.g., Looker, Tableau)
• Familiarity with machine learning concepts and their data requirements

Interviews will be conducted in English.

This position is open to candidates with disabilities. DoorDash welcomes applicants registered with the national autism registry (SisTEA) and others who seek an inclusive workplace.

If you need any accommodations, please inform your recruiting contact upon initial connection.