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Work setup: Unconfirmed
Employment: Unconfirmed

What you’ll work on

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.

From the employer’s posting

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)

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.

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.

What you’ll bring

All qualifications

Core experience

Strong SQL and production dbt experience
Experience rationalising dashboard estates or migrating BI logic downstream

Qualification wording

Strong SQL and production dbt experience

Experience rationalising dashboard estates or migrating BI logic downstream

Tools in this posting

SQL
dbt
Snowflake
Tableau
Dagster

Source

About you - Strong SQL and production dbt experience - Production experience on a cloud warehouse with Git-based, review-first workflows

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.

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

- 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.

- 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.

Job description

View original posting ↗

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. Not online but out there, in real life.

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 – businesses that, like us, get all excited about putting something real and beautiful into people’s hands. Does that make us nerds? Probably, and we’re ok with that.

We’ve been given the highest business award in Britain, ‘The Queen’s Award for Enterprise’. Backed by venture capital, we’re part of Tech Nation’s ‘Future Fifty’, recently passing $1bn in lifetime revenue, and featuring in the Guardian’s top 10 UK start-ups list. Ok, we’ll stop bragging now.

Today, we’re more than 400 people with our global HQ in London, UK, while we also have premises in Dagenham. In the US, you’ll find us in Boston, MA, as well as East Providence, RI and Denver, CO and with our most recent office expansion in Cape Town South Africa.

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

What’s it like to work at MOO?

MOO’s the kind of workplace where you can really be yourself. Dye your hair purple. Hit the sofa with your laptop. Whatever helps you feel comfortable and happy at work. 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.

That’s why we offer 25 days holiday rising by one day for each year here (for 5 years), a matched pension scheme, and paid parental leave. We’ll offer you private healthcare, life insurance, a season ticket loan, and a cycle to work scheme. We also offer flexible work schedules with hybrid and remote working for certain roles as well as 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. And that creates a better experience for our customers. 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. Therefore, we’d like to invite you to complete this optional survey to help us evaluate our inclusion and diversity efforts. Completing this form is entirely voluntary and if you decide not to it won’t in any way affect your job application. We keep the information separate from your application and it is kept secure and confidential, it is only used to better our inclusion and diversity efforts. By submitting this information, you consent to MOO's processing of it for these purposes.

Employment type

Perm - Full-time

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Source & posting history

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Pay: No pay amount identified in the saved description.
Location & working pattern: London
MOO’s the kind of workplace where you can really be yourself. Dye your hair purple. Hit the sofa with your laptop. Whatever helps you feel comfortable and happy at work. 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. That’s why we offer 25 days holiday rising by one day for each year here (for 5 years), a matched pension scheme, and paid parental leave. We’ll offer you private healthcare, life insurance, a season ticket loan, and a cycle to work scheme. We also offer flexible work schedules with hybrid and remote working for certain roles as well as a Work From Anywhere program. Diversity Statement
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

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Status in our records: Active
First seen by us: Sep 18, 2026
Recorded sightings: 6
Last seen by us: Oct 5, 2026

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Senior Analytics Engineer