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# Senior Analytics Engineer

- **Company:** MOO
- **Location:** London, UK (Remote available)
- **Experience:** Expert
- **Salary:** £66,992.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Business Logic, ARM Architecture, Standard Sql, Tableau (Software), Business Intelligence Development Studio, Large Language Models, Snowflake, Git, Data Analytics
- **Published:** September 19, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5890400840

## About the Role

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, * 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

## Description

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