Analytics Engineering Manager Job at Norwich, England, GB Full Time

In a nutshell, we’re all about making the world of wine a better place. We fund and source directly from independent winemakers to bring customers better quality wine for a better price. No thirsty middlemen as far as the eye can see.

It’s a different way of doing things, sure. But it works. We’re one of the UK’s favourite wine clubs, shipping over 1 million (!) cases a year to curious wine lovers. And with an ambitious road ahead, we’ve got no plans on plugging the cork on growth.

Our global team (we have offices in the US and Australia, too) is entrepreneurial by nature, obsessive about customer experience and driven by performance. All things that make Naked a great place to grow both personally and professionally. And yes, we like wine. A lot.

It takes a village to be Naked. That’s why we’re always on the lookout for eager talent to join the club. And now we’re looking for an Analytics Engineering Manager to join the fun.

We’re building a unified intelligence layer so every metric, model, and AI agent works from the same governed source of truth. It’s the foundation the business depends on to move with speed and confidence. As our Analytics Engineering Manager, you will own the semantic layer and the governed metrics that define how the business measures itself, translating stakeholder needs into clean, consistent data products built in partnership with our Data Engineering team. We’re moving fast to become an AI-native team and we want someone who’s excited to work with us towards enabling this.

So if you’re keen to help us take the guesswork out of enjoying great wine (that’s what we’re passionate about), there’s a Naked welcome pack with your name on it. Together, we’ll take Naked Wines to the next level – and share our not-so-well-kept secret with the world.

Location & Flexible Working: London or Norwich Office Hybrid Role (1 day a week in the office).

Requirements

What you’ll do

• Intelligence Layer Ownership: Shape our unified intelligence layer to ensure it is trusted by analysts and structured clearly enough for AI agents to query, reason over, and use reliably.
• Semantic Governance: Define and govern the canonical metrics, dimensions, and business logic implementation that the entire company relies on for decision-making.
• Model Design & Platform Migrations: Define robust modelling requirements behind major platform migrations, partnering closely with Data Engineering on what gets built and owning how it’s exposed and consumed.
• dbt Workflow Evolution: Collaborate on our dbt environment, contributing to model design, documentation, and testing, using dbt as our shared, single source of truth for business logic.
• Strategic Bridge: Sit between the business and Data Engineering, translating complex stakeholder questions into clear modelling requirements and governed, self-serve metrics.
• Platform Durability: Drive platform portability initiatives to ensure our data products are durable, scalable, and independent of any single technical stack.
• Technical Review: Own the technical review process for metric and model changes before they reach production, partnering with the wider team on complex modelling challenges.
• Roadmap Leadership: Shape and steer the long-term Analytics Engineering roadmap to support a rapidly growing global e-commerce business.

What you’ll bring

• Experience: 4+ years of professional experience in Analytics Engineering or BI Engineering, with a proven track record of delivering clean data architectures.
• Technical Proficiency: Strong working knowledge of dbt; you have contributed to production dbt projects and can read, write, test, and document models with confidence.
• AI Mindset: You already incorporate AI into your daily modelling, documentation, or review workflows and are excited to experiment with agentic workflows or multi-step orchestration.
• Domain Expertise: Essential experience in multi-market or multi-currency data modelling setups.
• Cloud Infrastructure: Hands-on experience with cloud-based MPP warehouses (ideally BigQuery or Redshift).
• Data Fundamentals: A deep understanding of data warehousing, dimensional modelling, and the rare ability to balance rigorous governance with pragmatic business speed.
• Engineering Best Practices: Strong familiarity with version control workflows for analytics code (GitLab or GitHub), including collaborative peer reviews and automated unit testing.
• Communication Mastery: The ability to translate complex technical trade-offs into clear, evidence-based recommendations for non-technical stakeholders.
• Bonus Points: Experience with LookML development, Python for automation/pipeline scripting, or leading teams through major BI tool migrations.

And finally you live by our Naked values:

• We are Naked Together – We believe that when people come together, great things get better. That is why we put people at the heart of what we do: our Angels, our Winemakers, our People and our Investors. What makes this work is trust, and we protect it diligently.
• We back independence – We believe great things happen when people are free to create and think for themselves. We pride ourselves on challenging the status quo and solving problems independently.
• We are bold – We choose courage over comfort and are not afraid to call things as they are. We dream big and take action to turn our ambition into reality – even in the face of uncertainty.
• We care about our craft – We have a passion for our craft and strive for excellence in everything we do. We hone our craft continuously and keep on finding ways to do things better.
• We choose what’s right – We do right to our people, our planet and our products, and believe everyone can make a difference. We accept the inevitable trade-offs that come with doing the right thing.

Recruitment Process
First Interview > Task & Task Presentation > Final Interview

Benefits

As part of the Naked family, we want you to know we’ve got your back. Here are a few of the perks you’ll enjoy when you join the team…

• A competitive salary of £70-80k pa plus annual bonus opportunity
• Personal Healthcare
• 26 days holiday and bank holidays (you can buy or sell holiday too)
• A £300 annual personal development budget – we’re passionate about supporting people to follow their dreams inside or outside of Naked
• £450 every year to treat yourself to some of our delicious wines…all in the name of research, of course
• We want to do our bit for the community and give everyone paid leave to volunteer
• We have wellbeing support and access to mindfulness resources
• Enhanced parental leave
• We like to surprise and delight you with lovely thoughtful gifts including Naked Wine and lots more…

Equal Opportunities

At Naked Wines, we recognise the value of diversity and inclusivity in fostering a truly remarkable experience for all our winemakers and customers. Our commitment extends beyond wine to building a workforce that reflects the wide array of perspectives and experiences found across the UK. We believe that embracing diversity in our teams enables us to provide exceptional service and innovation.We are dedicated to ensuring all our employees are treated fairly and equitably at work, with a strong commitment to promoting equity in both physical and mental health for everyone. To achieve this, Naked Wines encourages applications from individuals of disadvantaged socio-economic backgrounds, disabled persons, LGBTQ+ community members, Black, Asian and Minority Ethnic backgrounds, and those with lived experiences of discrimination.

Accessibility and Adjustments

Naked Wines is committed to providing reasonable adjustments throughout our recruitment process. We strive to be as accommodating as possible to ensure all candidates can participate fully. If you have specific requirements or need adjustments at any stage of the application or interview process, please do not hesitate to get in touch. In your application, feel free to indicate your preferred pronouns (for example – she/her/hers, he/him/his, they/them/theirs, etc)to help us better address and respect your identity throughout the process.