Senior Analytics Engineer, MOO
1-3 days a week in office
Online print & design company
Posted today
Online print & design company
201-500 employees
Posted today
1-3 days a week in office
201-500 employees
Company mission
To help bring brands to life with great design for everyone.
Role
Who you are
- 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)
- 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
Desirable
- 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 the job involves
- 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
- 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
Salary benchmarks
Our take
Launched in 2006, Moo was created to disrupt the global print industry. The company takes strong design principles and combines this with the ease and scope of an online offering to help people and businesses everywhere bring their ideas and brands to life.
The company delivers high-quality printing that meets both personal and business needs, with products including business cards, stickers, flyers and stationery - all created through its website. Users can choose from templates, create a design on Moo, or upload pre-built designs to print, making it a versatile platform that can serve a variety of needs.
In a market dominated by legacy print companies, Moo has deservedly secured a reputation as a breath of fresh air. It has become one of the fastest growing print businesses in the world, solidifying its position in the trillion dollar print industry, and enabling it to bring the power of great design to more and more people every year.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (1 round)
Apr 2006
$5m
SERIES A
Total funding: $5m
Company benefits
- Combined Holiday: 34 days of vacation and company holidays. With even more days off the longer you’re here
- 401(k) retirement plan: We’ll match 100% of your contributions up to 5%
- Paid parental leave: Up to 16 weeks’ for the primary parent; two for the secondary parent
- Healthcare: Including a choice of plans with UnitedHealthcare
- Life Insurance: Four times your salary to your chosen beneficiary
- Vision and dental insurance: Choice of plans to cover you and your family
- Feel at home anywhere: With flexible working, casual dress, free snacks and more
- MOO discounts: Free print for you. 30% off for your friends and family
Company values
- Make it sustainable - We act with care for people and the planet. We’re continually innovating to have a positive impact
- Always deliver delight - Because we’re confident in the quality of what we do, we’re not afraid to be playful and surprising. It’s what makes us stick in people’s hearts and minds
- Keep it human - We understand the people we work for and with. No one wants to speak to a robot, or be treated like one. We celebrate who you are
- Every detail counts - It’s not perfectionism, it’s precision. And it means we always ship greatness. We take pride in our work and making it even better
- Imagine it better - We believe there’s a better way, and we need to find it first. We have a progressive, purposeful mindset
- Tackle it together - We do great things when we bring different ideas together. Like design and technology. Or the many minds in our crews. Together we’re stronger
Company HQ
Camden, London, UK
Articles
Leadership
Richard Moross
(Founder & CEO)Advisor at Aera Instruments. Former Non-Executive Director at N Brown Group and Ladbrokes, and Board Member at Seedcamp. Also worked in strategic planning, advertising and programme finance.
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