Senior Marketing Analytics Engineer

New

Based in BrazilFull-TimeSenior

Salary not disclosed

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Job Details

3–5 years of experience in analytics engineering, data engineering, BI engineering, or related roles.
Strong proficiency in Python and SQL for production-grade data pipelines.
Solid experience with data warehousing concepts and ETL/ELT processes.
Proficiency with orchestration tools such as dbt or Airflow.
Strong knowledge of dimensional data modeling and modern data architecture.
Hands-on experience with semantic layer tools such as Looker/LookML, Tableau, or Power BI.
Practical experience with LLMs and agentic workflows.
Strong English communication skills, both written and verbal.
Experience working in cross-functional environments with technical and non-technical stakeholders.
Nice to have: experience in marketing analytics domains such as customer funnels, attribution modeling, CRM, or growth analytics.

Design, build, and maintain scalable marketing data pipelines and architectures using modern data stack practices.
Develop and optimize ETL/ELT workflows to transform raw marketing data into clean, reliable, and report-ready datasets.
Build and maintain semantic layers enriched with business context to support both BI tools and AI-driven analytics.
Develop predictive models and analytical frameworks to forecast marketing performance and improve decision-making.
Support marketing attribution modeling initiatives to measure channel effectiveness and campaign impact.
Ensure data quality, integrity, and governance through monitoring, validation, and standardization processes.
Create and support AI-powered workflows and reusable AI skills that enable natural language interaction with marketing data.
Conduct AI and data quality validation cycles to ensure reliability and accuracy of AI-generated insights.

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