Analytics Engineer, Data Science

DoorDash Brazil; São Paulo; Híbrido; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading food delivery service in São Paulo is looking for an Analytics Engineer to build and scale data foundations that drive decisions across the company. You'll collaborate with various teams to uncover insights and develop self-service tools, ensuring high data integrity and quality. Ideal candidates will have 2-6+ years in analytics engineering, strong SQL proficiency, and experience with data visualization tools. This role supports a hybrid work model.

Serviços

Comprehensive benefits

Support for employee well-being

Inclusive culture and diversity commitment

Qualificações

• 2‑6+ years of experience in business intelligence, analytics engineering, or data engineering.
• Strong proficiency in SQL for data transformation.
• Experience with dashboarding tools like Looker or Tableau.

Responsabilidades

• Collaborate with teams to understand business needs and translate them into data requirements.
• Identify key business questions and generate insights.
• Lead development of data products and self-serve tools.

Conhecimentos

SQL for data transformation

Python or Scala

Data visualization with dashboarding tools

Database fundamentals

Data quality checks

Strong communication skills

Strategic thinking

Ability to work in hybrid model

Ferramentas

Tableau

Looker

Sigma

Descrição da oferta de emprego

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
• Customer Experience & Integrity
• Merchant
• Ads & Promotions

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

About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door‑to‑door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well‑being by providing comprehensive benefits and perks.

Our Commitment to Diversity and Inclusion

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