At a Glance
- Tasks: Lead the analytics team to create impactful data products and drive AI integration.
- Company: Join a dynamic wine company revolutionising the industry with independent winemakers.
- Benefits: Enjoy a competitive salary, generous holiday, personal development budget, and a yearly wine allowance.
- Other info: Be part of a diverse team that values trust, independence, and continuous improvement.
- Why this job: Shape the future of data in a fast-growing e-commerce business while enjoying flexible working.
- Qualifications: 4+ years in Analytics Engineering, strong dbt skills, and a passion for AI-driven solutions.
The predicted salary is between 70000 - 80000 £ per year.
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, with no middlemen. Our UK‑based wine club ships over 1 million cases a year to curious wine lovers and continues to grow. Our global team is entrepreneurial, obsessed with customer experience and driven by performance. You’ll work across our US and Australian offices as part of an AI‑native, high‑velocity data team.
Role Overview
As Analytics Engineering Manager you will own the semantic layer and governed metrics that define how the business measures itself. You’ll translate stakeholder needs into clean, consistent data products, partner with Data Engineering, and champion the transition to an AI‑native culture.
Location & Flexible Working
London or Norwich office – hybrid role (1 day a week in the office).
Responsibilities
- Intelligence Layer Ownership: Shape our unified intelligence layer to be trusted by analysts and AI agents.
- Semantic Governance: Define and govern canonical metrics, dimensions, and business logic for company‑wide decision‑making.
- Model Design & Platform Migrations: Specify robust modelling requirements for platform migrations and drive how metrics are exposed.
- dbt Workflow Evolution: Collaborate on our dbt environment, contributing to design, documentation, and testing.
- Strategic Bridge: Mediate between business and Data Engineering, translating complex stakeholder questions into clear modelling requirements.
- Platform Durability: Drive platform portability to keep data products durable, scalable, and stack‑agnostic.
- Technical Review: Own the review process for metric and model changes before production.
- Roadmap Leadership: Shape and steer the long‑term Analytics Engineering roadmap to support a rapidly growing e‑commerce business.
Qualifications
- Experience: 4+ years in Analytics Engineering or BI Engineering, delivering clean data architectures.
- Technical Proficiency: Deep knowledge of dbt; confident in writing, testing, and documenting models.
- AI Mindset: Incorporate AI into modelling, documentation, or review workflows and experiment with agentic workflows.
- Domain Expertise: Experience in multi‑market/multi‑currency data modelling.
- Cloud Infrastructure: Hands‑on with MPP warehouses (BigQuery or Redshift).
- Data Fundamentals: Strong grasp of data warehousing, dimensional modelling, and governance‑speed balance.
- Engineering Best Practices: Version control (GitLab or GitHub), peer reviews, automated testing.
- Communication Mastery: Translate technical trade‑offs into clear, evidence‑based recommendations for non‑technical stakeholders.
- Bonus Points: LookML, Python automation, or leading BI tool migrations.
Core Values
- We are Naked Together – trust and collaboration at our centre.
- We back independence – challenge the status quo and solve problems independently.
- We are bold – pursue courage over comfort and act on ambition.
- We care about the craft – continuously improve excellence.
- We choose what’s right – act ethically for people, planet, and products.
Benefits
- Competitive salary of £70‑80k and annual bonus.
- Personal healthcare and 26 days holiday + bank holidays.
- £300 annual personal development budget.
- £450 yearly wine allowance.
- Paid leave to volunteer.
- Wellbeing support and mindfulness resources.
- Enhanced parental leave.
- Regular surprise gifts and gifts including Naked Wine.
Recruitment Process
First Interview → Task & Task Presentation → Final Interview.
Equal Opportunities
At Naked Wines we recognise the value of diversity and inclusivity. We encourage applications from individuals of disadvantaged socio‑economic backgrounds, disabled persons, LGBTQ+ community members, Black, Asian, and Minority Ethnic backgrounds, and anyone with lived experience of discrimination. We commit to treating all employees fairly and equitably at work.
Accessibility and Adjustments
We offer reasonable adjustments throughout the recruitment process. If you have specific requirements, please let us know. Feel free to indicate your preferred pronouns to help us respect your identity throughout the process.
Benefits Note
These benefits may be updated and are subject to change.
Analytics Engineering Manager in London employer: Naked Wines
At Naked Wines, we pride ourselves on being an exceptional employer, fostering a vibrant and inclusive work culture that champions independence and collaboration. Our London and Norwich offices offer a hybrid working model, allowing for flexibility while you lead a high-velocity data team in shaping the future of wine e-commerce. With competitive salaries, generous personal development budgets, and unique perks like a yearly wine allowance, we are committed to supporting your professional growth and well-being in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineering Manager in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or through our website. Ask them about their experiences and any tips they might have for landing the Analytics Engineering Manager role.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss dbt, data modelling, and how you would approach building a semantic layer. We want to see your passion for data!
✨Tip Number 3
Show us your problem-solving skills! Be ready to tackle hypothetical scenarios during the interview. Think about how you would translate complex stakeholder needs into clear data products – we love seeing that analytical mindset in action.
✨Tip Number 4
Don’t forget to highlight your experience with AI and cloud infrastructure. Share specific examples of how you've incorporated AI into your workflows or worked with MPP warehouses. This will set you apart from the crowd!
We think you need these skills to ace Analytics Engineering Manager in London
Some tips for your application 🫡
Show Your Passion for Wine:When you're writing your application, let your love for wine shine through! We’re all about making the world of wine better, so share any personal experiences or insights that connect you to our mission.
Tailor Your Experience:Make sure to highlight your relevant experience in Analytics Engineering. We want to see how your skills align with our needs, especially in areas like dbt and data governance. Be specific about your past projects!
Be Clear and Concise:We appreciate straightforward communication. When detailing your qualifications, keep it clear and to the point. Avoid jargon unless it’s necessary, and make sure your key achievements stand out!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Naked Wines
✨Know Your Data Inside Out
As an Analytics Engineering Manager, you’ll need to demonstrate a deep understanding of data architectures and modelling. Brush up on your knowledge of dbt and be ready to discuss how you've used it in past projects. Prepare examples that showcase your ability to translate complex data needs into clean, actionable insights.
✨Showcase Your AI Mindset
This role requires an AI-native approach, so think about how you've incorporated AI into your previous work. Be prepared to share specific instances where you've experimented with AI workflows or improved processes using AI tools. This will show your potential employer that you're not just technically proficient but also forward-thinking.
✨Communicate Like a Pro
You’ll be mediating between business stakeholders and the data engineering team, so strong communication skills are a must. Practice explaining technical concepts in simple terms. Think of examples where you’ve successfully bridged the gap between technical and non-technical teams, as this will highlight your ability to make data accessible to everyone.
✨Prepare for the Task Presentation
The recruitment process includes a task presentation, so make sure you’re ready to showcase your analytical skills. Choose a relevant project or case study that highlights your experience with metric governance or platform migrations. Structure your presentation clearly, focusing on the problem, your approach, and the results, to leave a lasting impression.
