At a Glance
- Tasks: Lead the analytics team to create impactful data products and drive AI integration.
- Company: Join a dynamic wine company focused on quality and customer experience.
- Benefits: Enjoy a competitive salary, generous holiday, and a yearly wine allowance.
- Other info: Embrace a culture of trust, independence, and continuous improvement.
- Why this job: Shape the future of data in a fast-growing e-commerce environment.
- Qualifications: 4+ years in Analytics Engineering with strong dbt skills.
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 employer: Naked Wines
At Naked Wines, we pride ourselves on fostering a vibrant and inclusive work culture that champions independence and collaboration. As an Analytics Engineering Manager, you'll enjoy a competitive salary, generous benefits including a personal development budget and a yearly wine allowance, and the opportunity to work in a hybrid role from our London or Norwich office. Join our entrepreneurial team where your contributions directly impact our mission to revolutionise the wine industry while enjoying ample opportunities for professional growth and well-being support.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineering Manager
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Naked Wines. A friendly chat can open doors and give you insider info that could make your application stand out.
✨Tip Number 2
Prepare for interviews by diving deep into the company’s values and culture. Show us how you embody our core values like independence and boldness. We love candidates who align with our mission of making wine better for everyone!
✨Tip Number 3
Don’t just talk about your skills; demonstrate them! If you get a task or presentation as part of the interview process, showcase your technical prowess with dbt and data modelling. Make it clear how you can contribute to our AI-native culture.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Naked Wines.
We think you need these skills to ace Analytics Engineering Manager
Some tips for your application 🫡
Show Your Passion for Wine:When you're writing your application, let your love for wine shine through! We want to see how your enthusiasm aligns with our mission of making the world of wine better. Share any personal experiences or insights that connect you to the industry.
Tailor Your Experience:Make sure to highlight your relevant experience in Analytics Engineering or BI Engineering. We’re looking for someone who can deliver clean data architectures, so be specific about your past projects and how they relate to the role.
Be Clear and Concise:We appreciate clarity! When describing your skills and experiences, keep it straightforward and to the point. Use bullet points if necessary to make your application easy to read and digest.
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, it shows you’re keen on joining our team!
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 emphasises an AI-native culture, so come prepared to discuss how you've incorporated AI into your previous work. Think about specific instances where you've experimented with AI workflows or improved processes using AI tools. This will show your alignment with the company's vision and your innovative approach.
✨Communicate Like a Pro
You’ll be mediating between technical teams and non-technical stakeholders, so practice explaining complex concepts in simple terms. Prepare to share examples of how you've successfully communicated technical trade-offs in the past. This will highlight your communication mastery and ability to bridge gaps between teams.
✨Embrace the Company Values
Familiarise yourself with the core values of the company, such as trust, independence, and boldness. Be ready to discuss how these values resonate with you and how you've embodied them in your previous roles. This will demonstrate your cultural fit and commitment to the company's mission.
