Analytics Engineer - Brazil

Rocket Lab; São Paulo; Presencial; BRL 60.000 - 100.000; Tempo integral

Resumo da oferta

An innovative company is seeking an Analytics Engineer to enhance its data-driven decision-making capabilities. This role involves designing and developing data models, optimizing ETL processes, and creating impactful dashboards to support various business functions. The ideal candidate will possess strong SQL skills, proficiency in programming languages like Python, and a knack for strategic thinking. Join a dynamic team that values collaboration and innovation, and play a key role in shaping the future of data analytics in a fast-paced environment.

Qualificações

• 3+ years in business intelligence or data analytics.
• Strong SQL skills and experience with data modeling techniques.

Responsabilidades

• Design and maintain robust data models for analytical needs.
• Collaborate with teams to develop scalable data solutions.

Conhecimentos

SQL

Python

Data Modeling

Analytical Skills

Communication Skills

Ferramentas

Tableau

Snowflake

DataBricks

Looker

Descrição da oferta de emprego

About the Team

Join us in building the world's most reliable on-demand logistics engine for delivery! We are hiring talented engineers to develop and maintain a 24x7, no-downtime, global infrastructure system that powers DoorDash’s marketplace connecting consumers, merchants, and dashers.

About the Role

Data is fundamental to DoorDash's success. The Data Engineering team develops database solutions for reporting, product analytics, marketing optimization, and financial reporting. They design dashboards, data structures, and data warehouse architecture, serving as the backbone for decision-making at DoorDash.

We are seeking an Analytics Engineer to build and scale data models, pipelines, and self-service analytics. Your focus will be on developing a reliable data aggregation layer and reporting structure to support our expanding business needs, enabling teams to access and analyze data independently.

Responsibilities include:

• Designing, developing, and maintaining robust data models for analytical and product needs
• Collaborating with data engineers, scientists, and stakeholders to understand requirements and develop scalable solutions
• Implementing and optimizing ETL/ELT processes for data quality and performance
• Owning business KPIs, measurement plans, and reporting
• Ensuring accurate, timely, and reliable reporting processes
• Addressing ad-hoc reporting needs and automating processes where possible
• Creating reusable, readable, and standardized report designs
• Developing impactful dashboards using tools like Tableau or Sigma on large datasets

Additional Details

Note: Interviews will be conducted in English.

Qualifications we’re looking for:

• 3+ years experience in business intelligence, data analytics, or data engineering
• Strong SQL skills and experience with data modeling techniques (e.g., dimensional modeling, 3NF, data vault)
• Proficiency in programming languages such as Python or Scala
• Experience with reporting and dashboarding solutions using data lake/Snowflake or similar ecosystems
• Expertise in database fundamentals, SQL, and performance tuning
• Excellent communication skills, with experience working with both technical and non-technical teams
• Ability to work effectively in a fast-paced, self-organized environment
• Strategic thinking and analytical skills for interpreting market and consumer data

Nice to Haves:

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