Senior Analytics Engineer

MOO brings brands to life in a sustainable way, with a range of remarkable print and merchandise products. We combine design, technology, manufacturing and service, so that people can connect in memorable ways. We started in 2004. Since then we’ve built an award‑winning and much‑loved brand, with customer satisfaction and Trustpilot ratings that make most businesses want to give up and hire an army of review bots. We’ve got half a million customers, mostly small and medium businesses in North America, the UK, and Europe.

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.

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 direction 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.

What’s it like to work at MOO?

MOO’s the kind of workplace where you can really be yourself. We want to help you grow in your career and set you up for success – while also recognising the importance of a healthy work/life balance.

• 25 days holiday rising by one day for each year here (for 5 years).
• A matched pension scheme.
• Paid parental leave.
• Private healthcare.
• Life insurance.
• A season ticket loan.
• A cycle to work scheme.
• Flexible work schedules with hybrid and remote working for certain roles.
• A Work From Anywhere program.

Diversity Statement

We are working hard to create a representative, inclusive and super‑friendly team, because we know that different experiences, perspectives and backgrounds make for a better workplace. MOO doesn’t discriminate on the basis of race, colour, religion or belief, gender, national origin, age, sexual orientation, marital status, disability or any other protected class.

As a design and technology company we have a desire and a responsibility to build a business that represents the world around us. So we strive to create a values‑driven, purposeful and highly empowered organisation that we are all proud to work for. And we are committed to continuous investment in building an open and inclusive environment, welcoming a diverse audience of candidates who see themselves working and thriving at MOO.