Enter a job title or keyword
Senior Analytics Engineer
Job Location:
Job Location:
Cape Town - South Africa
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
21 August 2026 (Yesterday)
Posted:
Application Deadline:
18 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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 weve 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. Weve 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 peoples hands. Does that make us nerds Probably and were ok with that.
Weve been given the highest business award in Britain The Queens Award for Enterprise. Backed by venture capital were part of Tech Nations Future Fifty recently passing $1bn in lifetime revenue and featuring in the Guardians top 10 UK start-ups list. Ok well stop bragging now.
Today were more than 400 people with our global HQ in London UK while we also have premises in the US youll 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.
Were 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 were 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 were 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 its consumed.
The person we want
Youre 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. Youre 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. Youre 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 teams 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 haves
- 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
Whats it like to work at MOO
MOOs 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.
Thats 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. Well 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 doesnt 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 wed 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 wont 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 submitting this information you consent to MOOs processing of it for these purposes.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Senior IC
About Company
Online printing services to create high-quality business cards, stickers, postcards, and more. Professional custom printing by MOO, the best online print shop.
