Senior Analytics Engineer

Overview

In this role you own analytical domains end-to-end, defining metrics in a governed semantic layer and ensuring consistent, trusted answers across dashboards and AI-enabled outputs. You will model data with dbt and collaborate with stakeholders across operations, finance, and supply chain to unlock analytic capabilities. You’ll deliver insights through Tableau and contribute to a data-literacy-first culture. This is a chance to shape how data drives decisions at a fast-growing, sustainability-minded brand.

Pay / Benefits

• 25 days holiday
• matched pension scheme
• paid parental leave
• private healthcare
• life insurance
• season ticket loan for commuting

Responsibilities

• Design data models and metrics with stakeholders to enable analytics
• Define metrics, dimensions, and business logic in the semantic layer (dbt Semantic Layer / Snowflake semantic views)
• Deliver BI reporting (Tableau) with a tool-agnostic mindset and reduce output duplication
• Curate and validate governed datasets and semantic models for AI/natural-language consumption
• Promote self-service data literacy and trusted outputs across the business
• Review peers work and contribute to modelling standards
• Demo new features and train business stakeholders as needed

Key requirements

• Strong SQL and production dbt experience
• Production experience on a cloud data warehouse with Git-based, review-first workflows
• Track record of defining metrics with stakeholders and delivering reliable outcomes
• Judgement on where logic should reside (semantic layer vs BI layer)
• Demonstrable interest in data analytics evolution with AI and capability development
• Excellent communication to explain technical concepts to non-technical stakeholders
• Strong business acumen and instinct to align metrics with business outcomes
• Collaborative and constructive feedback style
• dbt (production)
• SQL
• Snowflake (or cloud data warehouse)

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