Analytics Engineer - Brazil – Vaga exclusiva para PCD

DoorDash; São Paulo; Presencial; BRL 167 400 - 223 200; Tempo integral

Resumo da oferta

DoorDash is looking for a data professional in São Paulo to design and maintain data models supporting analytical needs. Candidates should have strong SQL skills and a proven ability in building reporting solutions with tools like Tableau and Snowflake.

This role is dedicated to professionals with disabilities as part of inclusivity efforts. Ideal applicants will have at least 3 years of experience in data analytics or related fields.

Qualificações

• 3+ years of experience in business intelligence, data analytics, data engineering, or a similar role.
• Excellent communication skills and experience working with technical and non‑technical teams.
• Ability to think strategically and analyze market and consumer information.

Responsabilidades

• Design, develop, and maintain robust data models for analytical needs.
• Implement and optimize ETL/ELT processes for data quality.
• Build visually appealing reporting/dashboard products.

Conhecimentos

Data modeling techniques

Strong SQL skills

Python

Data analytics

Business intelligence

Ferramentas

Tableau

Snowflake

Databricks

Looker

Descrição da oferta de emprego

Engineering the future of logistics – from Brazil to the world

This position is dedicated to professionals with disabilities (PCD), in accordance with Brazilian Law No. 8.213/91 (Lei de Cotas). DoorDash welcomes applicants registered with the national autism registry (SisTEA) and other candidates seeking an inclusive workplace. This position is open to candidates with disabilities.

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 or Sigma across large data sets.
• Interviews will be conducted in English.

Qualifications

• 3+ years of experience 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 a data lake/Snowflake or similar ecosystem.
• Expertise in database fundamentals, SQL, and performance tuning.
• Excellent communication skills and experience working with technical and non‑technical teams.
• Comfortable working in a fast‑paced environment; self‑starter and self‑organizing.
• Ability to think strategically, analyze, and interpret market and consumer information.
• Nice to have:
  • 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.