Senior Analytics Engineer

📋 Description

• Partner with stakeholders across operations, commercial, finance, and supply chain to design data
• Define metrics, dimensions, and business logic in the semantic layer (dbt Semantic Layer /
• Deliver reporting through BI tooling (Tableau) with a tool-agnostic mindset, reduce duplicated
• Curate and validate governed datasets and semantic models for AI/natural-language consumption
• Champion healthy self-service and data literacy heading towards fewer, better, trusted outputs
• Review others' work and contribute to modelling standards

🎯 Requirements

• Strong SQL and production dbt experience
• Production experience on a cloud warehouse with Git-based, review-first workflows
• A track record of defining metrics with stakeholders and delivering outcomes people rely on
• Sound judgement about where logic should live - semantic layer vs BI layer
• Demonstrable interest in how data analytics is changing with AI and developing own skillset

🎁 Benefits

• Hybrid work schedule with remote options for certain roles
• Private healthcare and life insurance
• Flexible work arrangements
• 19 days holiday rising with years of service