Analytics Engineer, Data Science

Doordashinternational; São Paulo; Presencial; BRL 80 000 - 120 000; Tempo integral

Resumo da oferta

Doordashinternational is recruiting an Analytics Engineer in São Paulo, Brazil, to reinforce their data capabilities. This position crucially supports analytics initiatives, collaborating with data scientists and engineers.

Ideal candidates will have 2-6+ years of experience in related fields, strong SQL and a comfort with programming languages like Python or Scala. The company champions inclusivity and diversity.

Qualificações

• 2-6+ years of experience in business intelligence, analytics engineering, or related field.
• Strong comfort level in SQL as well as familiarity with at least one programming language.
• Proficiency in dashboarding tools for compelling data visualization.

Responsabilidades

• Collaborate with teams to translate business needs into data requirements.
• Develop self-serve tools for analytics scalability.
• Design dashboards and metrics for data visualization.

Conhecimentos

SQL

Python or Scala

Data visualization tools (Tableau, Sigma)

Data quality checks (Pydeequ, Great Expectations)

Strong communication skills

Ferramentas

ETL/ELT pipelines

Databases (S3, Trino, Hive, Spark)

Descrição da oferta de emprego

About the Team

The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs, and is responsible for building internal data products that scale decision-making across business teams and drive efficiency in our operations. Data is fundamental to DoorDash’s success, and this team plays a critical role in enabling high-impact, data-driven solutions across Product, Operations, Finance, and more.

Please apply here for all non-managerial levels within the following analytics teams:

• Consumer & Growth
• Business Operations
• Dasher & Logistics
• Customer Experience & Integrity
• Merchant
• Ads & Promotions
• New Verticals

About the Role

As an Analytics Engineer, you’ll play a key role in building and scaling the data foundations that enable fast, reliable, and actionable insights. You’ll work closely with partner teams to drive end-to-end analytics initiatives, working alongside Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators.

This is a highly technical role where you'll be a driving force behind the analytics stack, delivering trusted data and metrics that support decision-making at all levels of the company. If you're energized by solving technical problems with data and are comfortable being deeply embedded across several domains, this role is for you!

You're excited about this opportunity because you will…

• Collaborate with data scientists, data engineers, and business stakeholders to understand business needs, and translate that scope into data requirements
• Identify key business questions and problems to solve for, and generate insights by developing structured solutions to resolve them
• Lead the development of data products and self-serve tools that enable analytics to scale across the company
• Build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts
• Design metrics and data visualizations with dashboarding tools like Tableau, Sigma, and Mode
• Be a cross-functional champion at upholding high data integrity standards to increase reusability, readability and standardization

Interviews will be conducted in English

We're excited about you because you have…

• 2-6+ years of experience working in business intelligence, analytics engineering, data engineering, or a similar role
• Strong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or Scala
• Experience in creating compelling reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Sigma)
• Familiarity with database fundamentals (e.g. S3, Trino, Hive, Spark), and experience with SQL performance tuning
• Experience in writing data quality checks to validate data integrity (e.g., Pydeequ, Great Expectations)
• Strong 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
• Are able to work in a hybrid model in our office in São Paulo, Brazil

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

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.