--- title: 'Senior Analytics Engineer at MOO' canonical: 'https://feeny.ai/job/senior-analytics-engineer-moo-cape-town-6bfwypxrtr83' type: 'job' last_seen: '2026-09-07' --- # Senior Analytics Engineer at MOO - **Company:** MOO - **Location:** Cape Town, South Africa - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-08-14 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.lever.co/moo/74a0d86b-f821-4d50-b5b8-195661ec550c ## Job description 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 ## About MOO ## Company Overview - **One-liner**: MOO is an award-winning online print business that makes great design and high-quality branded print products, from business cards to notebooks and water bottles, for customers worldwide. - **Entity Type**: Private (funding stage: multiple rounds, $9.7M total raised) - **Headquarters**: London, United Kingdom (additional offices in East Providence, RI; Cape Town, South Africa; Dagenham, UK) - **Founded**: 2006 - **Founders**: Richard Moross (also serves as CEO) ## Core Business - **Primary industry/industries**: Online print and design services; custom branded merchandise and promotional materials. - **Target customers**: B2B (businesses of all sizes, from startups to enterprises) and B2C (individuals seeking professional print for personal brand or small business). - **Mission or purpose statement**: "Great design for everyone" – making it simple to create beautifully designed, expertly crafted print and branded items that help customers start conversations, open doors, and strengthen relationships. ## Products & Services - **Business Cards**: High-quality, uniquely designed cards with options for premium paper, edge painting, and finishes – the original product that launched the company. - **Notebooks**: Custom-branded notebooks with a focus on design and durability. - **Water Bottles**: Branded drinkware, part of the expanded merchandise range. - **Promotional Merchandise**: A full suite of branded items including stickers, pens, tote bags, mugs, and more – designed to be “the very opposite of your average branded merch.” - **Online Design Platform**: Easy-to-use website and tools for customers to upload designs or use templates, with professional support. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed. - **Key Metrics**: Annual Revenue estimated at $83.1M (latest available estimate); Total Funding: $9.7M across 6 rounds. - **Notable Investors/Partners**: Not explicitly listed in available sources – likely private investors. - **Growth Signals**: Employee headcount growing (+9.9% year-over-year, ~450+ total across five locations); expanding product line beyond cards into merchandise; increasing focus on sustainability and flexible work models. ## Competitive Advantages - **Design‑led approach**: Dedication to professional design and quality distinguishes MOO from bulk print providers – “great design for everyone.” - **End‑to‑end service**: From design tools to manufacturing and global shipping, MOO controls the customer experience. - **Sustainable Impressions program**: A public commitment to social and environmental responsibility, now embedded in the company’s manifesto and operations. - **Strong brand and community**: Over 56,000 LinkedIn followers, award‑winning reputation, and a loyal customer base built on quality and service. ## Strategic Focus - **Sustainability**: Acting with “care for people and the planet” – reducing environmental impact through products, materials, and operations. - **Product expansion**: Moving beyond business cards into a full range of branded merchandise (notebooks, bottles, etc.) to become a one‑stop shop for customer print needs. - **Flexible work model**: Embracing “Work 2.0” – permanent remote and hybrid options to attract and retain talent across continents. - **Inclusion and development**: Investing in DEI (JEDI team), mental health support, and career growth via MOO University. ## Why Work Here - **Culture**: “Keep it human” is a core value – an inclusive, supportive community that celebrates individuality and belonging. Active JEDI (Justice, Equality, Diversity and Inclusion) team driving policy and events. - **Remote/Hybrid/Office**: MOO’s “Work 2.0” model offers permanent flexibility. Most roles can be hybrid or remote, with offices in London, East Providence (RI), and Cape Town. Casual dress, free snacks. - **Benefits**: - 34 days of combined vacation and company holidays (increasing with tenure). - 401(k) retirement plan with 100% match up to 5%. - Paid parental leave: up to 16 weeks for primary parent, 2 weeks for secondary. - Healthcare via UnitedHealthcare (choice of plans). - Life insurance at 4x salary. - Employee discount: free print for employees, 30% off for friends and family. - **Growth**: Career development program, MOO University for managers, and courses tailored to every level. - **Engineering/tech**: Roles for software engineers (e.g., Software Engineer II, Data Engineer II) in modern tech stacks – part of the product origin teams. ## Sources 1. [MOO – About](https://www.moo.com/us/about) 2. [MOO – Working for MOO](https://www.moo.com/us/about/working-for-moo) 3. [MOO – Jobs on Lever](https://jobs.lever.co/moo) 4. [MOO LinkedIn Company Page](https://linkedin.com/company/moo-com) ## Other roles at MOO - [Account Manager](https://feeny.ai/job/account-manager-moo-east-providence-kyjzpa28arhg) — East Providence, RI - [Print Applications Specialist](https://feeny.ai/job/print-applications-specialist-moo-east-providence-tsrrknmtnn10) — East Providence, RI - [Press Operator (3rd Shift)](https://feeny.ai/job/press-operator-3rd-shift-moo-east-providence-sms6pg0fff8p) — East Providence, RI - [Machine Operator (2nd Shift)](https://feeny.ai/job/machine-operator-2nd-shift-moo-east-providence-5839481sestt) — East Providence, RI - [Software Engineer II](https://feeny.ai/job/software-engineer-ii-moo-london-vtqy3say1a57) — London, United Kingdom - [Principal Engineer](https://feeny.ai/job/principal-engineer-moo-london-p3tyvde544cb) — London, United Kingdom - [Machine Operator (1st Shift)](https://feeny.ai/job/machine-operator-1st-shift-moo-east-providence-axqnf60vaqwz) — East Providence, RI - [Vice President of Technology](https://feeny.ai/job/vice-president-of-technology-moo-london-39hz527cyv6k) — London, United Kingdom - [Quality Controller (Manufacturing)](https://feeny.ai/job/quality-controller-manufacturing-moo-east-providence-n1bx0dv1eh69) — East Providence, RI - [Inbound Phone Representative](https://feeny.ai/job/inbound-phone-representative-moo-east-providence-8s0te7m6dbt7) — East Providence, RI