Analytics Engineer - Brazil

DoorDash Brazil; São Paulo; Híbrido; BRL 20.000 - 80.000; Tempo integral

Resumo da oferta

DoorDash Brazil is seeking an Analytics Engineer to enhance their data infrastructure. The role focuses on building data models, optimizing reporting processes, and collaborating with cross-functional teams to ensure data-driven decision-making. Ideal candidates will have strong SQL skills, experience in data analytics, and a passion for developing scalable data solutions. This hybrid position offers the opportunity to work in a dynamic environment while contributing to the company's mission.

Serviços

Comprehensive benefits package

Flexible work hours

Qualificações

• 3+ years experience in business intelligence, data analytics, or data engineering.
• Strong SQL skills and experience with data modeling techniques.
• Proficiency in Python or Scala.

Responsabilidades

• Design and maintain robust data models for analytical needs.
• Implement and optimize ETL/ELT processes for data quality.
• Build impactful reporting/dashboard products using Tableau.

Conhecimentos

SQL

Data modeling

ETL/ELT processes

Data visualization

Communication

Formação académica

Bachelor's degree in a related field

Ferramentas

Tableau

Snowflake

Python

Descrição da oferta de emprego

Come help us build the world's most reliable on-demand, logistics engine for delivery! We're bringing on talented engineers to help us create and maintain a 24x7, no downtime, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers.

About the Role

Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing dashboards, data structures, and data warehouse architecture; this team serves as the foundation for decision-making at DoorDash.

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.

You’re excited about this opportunity because you will…

• 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

**Interviews will be conducted in English**

We’re excited about you because…

• 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
• 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

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

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.

We use Covey as part of our hiring and/or promotional process for jobs in certain locations.

To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.

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