This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Marketing Analytics Engineer based in Brazil.
This is a high-impact, hybrid analytics engineering role at the intersection of data engineering, marketing analytics, and applied AI. You will be responsible for building and maintaining the data foundations that power marketing decision-making across global teams, while also enabling AI-driven analytics experiences. The role combines technical depth in data modeling and pipeline engineering with a strong focus on business impact, attribution, and predictive insights. You will work closely with cross-functional teams including marketing, product, sales operations, and global analytics to transform complex data into trusted, actionable intelligence. In addition, you will contribute to the evolution of semantic data layers that make marketing data accessible to AI agents and natural language interfaces. This is a role for someone who thrives in a fast-paced, data-driven environment and enjoys shaping how analytics and AI come together at scale.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Marketing Analytics Engineer based in Brazil.
This is a high-impact, hybrid analytics engineering role at the intersection of data engineering, marketing analytics, and applied AI. You will be responsible for building and maintaining the data foundations that power marketing decision-making across global teams, while also enabling AI-driven analytics experiences. The role combines technical depth in data modeling and pipeline engineering with a strong focus on business impact, attribution, and predictive insights. You will work closely with cross-functional teams including marketing, product, sales operations, and global analytics to transform complex data into trusted, actionable intelligence. In addition, you will contribute to the evolution of semantic data layers that make marketing data accessible to AI agents and natural language interfaces. This is a role for someone who thrives in a fast-paced, data-driven environment and enjoys shaping how analytics and AI come together at scale.
Accountabilities:
- Design, build, and maintain scalable marketing data pipelines and architectures using modern data stack practices, including Medallion architecture and dimensional modeling.
- Develop and optimize ETL/ELT workflows to transform raw marketing data into clean, reliable, and report-ready datasets.
- Build and maintain semantic layers (e.g., LookML and/or dbt models) enriched with business context and metadata to support both BI tools and AI-driven analytics.
- Develop predictive models and analytical frameworks to forecast marketing performance and improve decision-making across funnels and campaigns.
- Support marketing attribution modeling initiatives to measure channel effectiveness and campaign impact accurately.
- Ensure data quality, integrity, and governance through monitoring, validation, and standardization processes.
- Design and maintain documentation, version control (e.g., GitHub), and reusable data assets for scalable analytics usage.
- 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, accuracy, and consistency of AI-generated insights.
- Contribute to the definition of metadata standards and responsible AI practices for marketing analytics systems.
- 3–5 years of experience in analytics engineering, data engineering, BI engineering, or closely related data roles.
- Strong proficiency in Python and SQL for production-grade data pipelines and analytics workflows.
- Solid experience with data warehousing concepts, ETL/ELT processes, and orchestration tools such as dbt, Airflow, or equivalents.
- Strong knowledge of dimensional data modeling and modern data architecture practices.
- Hands-on experience with semantic layer tools such as Looker/LookML (preferred), Tableau, Power BI, or similar platforms.
- Experience working in cross-functional environments with both technical and non-technical stakeholders.
- Practical experience with LLMs and agentic workflows, including building, testing, or integrating AI-assisted data systems.
- Strong English communication skills, both written and verbal.
- Nice to have: experience in marketing analytics domains such as customer funnels, attribution modeling, CRM, or growth analytics.
- Flexible work model (remote/hybrid flexibility depending on team setup)
- Competitive CLT compensation and full employment benefits
- Health, dental, and life insurance coverage
- Free or subsidized wellness and fitness membership programs
- Comprehensive mental health and emotional wellbeing support programs
- Flexible working hours aligned with team and time zone needs
- Paid time off, including vacation, additional annual days off, and birthday leave
- Parental leave with extended support and return-to-work flexibility
- Home office support and reimbursement for remote setup
- Career development programs, learning platforms, and internal mobility opportunities
- Inclusive, collaborative, and global work environment focused on wellbeing and impact.