Senior Analytics Engineer
Summary
Owns end-to-end analytical domains: defines metrics in a governed semantic layer (dbt/Snowflake), models data, and ensures consistent KPIs across dashboards and AI tools.
MOO is all about making great design available to everyone. We do that by producing premium print and branded merchandise. But it’s as much about how we do it, leading with design, technology and sustainability.
Founded in 2004, we’ve come this far by being obsessed with the happiness of our customers. Along the way, we’ve built an award-winning and much-loved brand, with exceptional customer satisfaction and Trustpilot ratings. Those customers are typically small and medium-sized businesses based in North America, the UK, and Europe – businesses that, like us, value design and see the brand-building power of putting something real in people’s hands.
We’ve received the highest business award in Britain, ‘The Queen’s Award for Enterprise’. Part of Tech Nation’s ‘Future Fifty’, we’ve been profiled in the Financial Times, and ranked in the Guardian’s top 10 UK start-ups.
Today we are over 350 people, headquartered in the UK but with many of our people based in the USA and 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.
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).
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 19 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 and life insurance. We also offer flexible work schedules with hybrid and remote working for certain roles.
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.