Senior Analytics Engineer

We're a team of data engineers and analytics engineers running the platform that brings together data from our e-commerce, manufacturing, fulfilment, and finance systems.

We build on a modern, warehouse-native stack - Snowflake, dbt, and Dagster - and we're working towards a governed semantic layer so trusted metrics are defined once and consumed everywhere: dashboards, self-service tools, and AI assistants.

This role exists to own analytical domains end-to-end. Defining their metrics in the semantic layer with stakeholders, data modelling in dbt, and making sure a KPI resolves to the same trusted answer wherever it's consumed.

The person we want

You're an analytics engineer or data analyst with a rounded experience in data modelling and engineering practice.

You possess excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

You have strong business acumen and instinct, enabling you to challenge metric definitions to ensure they reflect real business outcomes

You hold an honest, practical view about AI. You're enthusiastic about what governed, semantically-modelled data makes possible, but rigorous about validation and approach new capability with a healthy skepticism (but not cynicism).

Responsibilities

• Partner with stakeholders across operations, commercial, finance, and supply chain to design data models and unlock analytic capabilities
• Define metrics, dimensions, and business logic in the semantic layer (dbt Semantic Layer / Snowflake semantic views)
• Deliver reporting through our BI tooling (currently Tableau) with a tool-agnostic mindset, and reduce duplicated or conflicting outputs.
• Curate and validate governed datasets and semantic models for AI/natural-language consumption, acting as the accuracy bar for AI-generated analysis.
• Champion healthy self-service and data literacy heading in the directon of fewer, better, trusted outputs
• Review others' work constructively and contribute to the team's modelling standards.
• Demo new features and train business stakeholders when required

About you

• 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
• Can demonstrate sound judgement about where logic should live - e.g. in semantic layer or BI layer
• Demonstrable interest in how data analytics is changing alongside AI, and developing own skillset

Nice to have's

• Semantic layer tooling in production
• Natural-language/AI analytics tools (e.g. Cortex Analyst or similar) or preparing data for LLM consumption.
• Experience rationalising dashboard estates or migrating BI logic downstream
• E-commerce, manufacturing, or subscription business domains