Senior Marketing Analytics Engineer

YOUR IMPACT

• Data Engineering & Architecture — Own the foundational marketing data layer. You will design, build, and maintain the data pipelines that transform raw marketing sources into optimized dimensional models (utilizing Medallion architecture), delivering clean, report-ready tables for downstream business intelligence and analytics;
• Predictive Analysis — Develop and apply statistical and predictive models to forecast key marketing funnel metrics, identify areas for improvement, and inform strategic decision-making;
• Marketing Attribution — Support the design and implementation of marketing attribution models to accurately measure channel and campaign contribution;
• Data Quality & Governance — Ensure data reliability through monitoring, validation, cleansing, and adherence to data governance policies;
• Documentation & Versioning — Maintain thorough documentation of the marketing data ecosystem and version data projects in GitHub;
• Semantic Layer for AI — Maintain and extend BI data models (LookML and/or dbt preferred) enriched with metadata, business context, and structured definitions that make them consumable by AI agents and natural language analytics interfaces;
• Reusable AI Skills & Workflows — Build reusable AI skills, tools, and workflows that allow analysts and stakeholders to interact with governed data through natural language interfaces;
• AI Quality Assurance — Run structured test cycles to validate AI agent output accuracy, identify regressions, and maintain quality standards as models and data evolve;
• Data Standards for Responsible AI — Contribute to metadata standards and responsible AI guidelines that govern how marketing data is surfaced through automated and AI-assisted analytics.

WHO YOU ARE