Senior Analytics Engineer | Marketing

 We are hiring a Senior Analytics Engineer to our Marketing team in Brazil!

Are you passionate about turning marketing data into meaningful insights? Join us as a Marketing Analytics Engineer, where you'll blend data engineering with analytics to power smarter marketing decisions. You will build the data foundations - pipelines, models, and sources - that help our analysts measure campaign impact and unlock growth opportunities. Partnering across teams, you will ensure our data is clean, reliable, and always driving action. If you're excited by building scalable data solutions and bringing clarity to complexity, we'd love to hear from you!

YOUR IMPACT

• Data Pipeline Management: Work on data warehouse pipelines that feed into dashboards and reports, ensuring data accuracy and efficiency
• Data Modeling: Elevate data maturity by creating and maintaining dimensional modeling solutions from various marketing systems raw sources
• Data Architecture: Own all marketing-related tables within the data lake, ensuring we follow OLAP systems & medallion design fundamentals.
• Data Analysis & Insights: Conduct exploratory data analysis to identify trends, patterns, and actionable insights for marketing optimization, including campaign performance and customer behavior.
• Manage Cross-team Projects: Collaborate with global data & product analysts, engineers, architects, and developers on projects related to Marketing data.
• Marketing Attribution: Support the design and drive the implementation of marketing attribution models to accurately measure channel and campaign effectiveness.
• Communication & Reporting: Effectively communicate data projects and recommendations to marketing stakeholders through clear reports, presentations, and visualizations
• Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life balance.

Who You Are

• Proficiency in Python, SQL, Git, BI tools (e.g., Tableau, PowerBI, Looker, Amplitude)
• Strong understanding of data warehousing and modeling concepts, with hands-on experience managing ETL workflows, data pipelines, and orchestration tools like Airflow and dbt
• Knowledge of marketing technology platforms such as HubSpot, SFMC, or Braze (preferred).
• Curiosity & analytical thinking - Naturally inquisitive, always looking for insights that drive business impact.
• Adaptability - Thrives in a dynamic environment with shifting priorities and fast-paced decision-making.
• Strong communication skills - Able to explain complex data concepts to non-technical stakeholders
• Experience working in Business Intelligence, Data Engineering, Machine Learning or Data Science.
• Fluent English is mandatory, capable of participating in meetings and discussions with fluency and confidence.