Senior Marketing Analytics Engineer

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.

Requirements:

• 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.

Benefits:

• 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.

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