Senior Analytics Engineer
Core
Own analytical domains end-to-end by defining metrics in the semantic layer, building data models in dbt, and ensuring consistent KPIs across dashboards and AI tools.
Role type
Senior Analytics Engineer (warehouse-native stack)
Builds
Governed semantic layer, trusted metrics, and data models for dashboards and AI consumption
Domain
E-commerce, manufacturing, and supply chain
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, dbt, cloud data warehouse, Git-based workflows, stakeholder collaboration, metric definition, data modeling
Preferred skills
Semantic layer tooling, natural-language/AI analytics tools, BI estate rationalization, e-commerce/manufacturing domain knowledge
Technologies
Snowflake, dbt, Dagster, Tableau
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; Review team work and contribute to modeling standards; Demo new features and train business stakeholders
Seniority
Senior, hands-on IC