Owns analytical domains end-to-end, defining metrics and data models for trusted analytics.
•MOO is seeking a Senior Analytics Engineer to own analytical domains end-to-end, defining metrics, modeling data, and ensuring trusted answers across the organization.
•This role is crucial for building a governed semantic layer for consistent data consumption.
•Key Responsibilities Partner with stakeholders to design data models and unlock analytic capabilities.
•Define metrics, dimensions, and business logic in the semantic layer.
•Deliver reporting through BI tooling and reduce duplicated outputs.
•Curate and validate governed datasets for AI/natural-language consumption.
•Champion self-service and data literacy.
•Requirements Strong SQL and production dbt experience.
•Production experience on a cloud warehouse with Git-based, review-first workflows.
•Track record of defining metrics with stakeholders and delivering reliable outcomes.
•Sound judgment on where logic should reside (semantic layer vs.
•Demonstrable interest in AI's impact on data analytics.