Head of Analytics London, England, United Kingdom

Head of Analytics London, England, United Kingdom

HybridDigital, Product, Analytics & Data, AnalyticsFull time

London, England, United Kingdom

Now were looking for an experienced Head of Analytics to lead and grow our global Analytics team. Behind the scenes, our data is the backbone of how we make decisions, drive growth and deliver amazing experiences to customers and winemakers. Youll guide a group of talented data professionals, set the strategic direction for analytics across the business and ensure data and insights inform every important decision - from marketing and customer experience to product, operations and finance.

So if youre keen to help us take the guesswork out of enjoying great wine, theres a Naked welcome pack with your name on it. Together, well take Naked Wines to the next level - and share our not-so-well-kept secret with the world.

Location - London, Hybrid (1-2 days per week at our London Office)

Requirements

What youll do

Lead and develop the Analytics team, including managers and analysts. Prioritise workload, coach performance and foster a collaborative, high-performing culture.

Shape and deliver the Data vision and strategy, ensuring alignment with company OKRs, business goals and Data Engineering.

Drive data-led decision-making across key business functions: Customer Acquisition, Product, Retention, Marketing, Operations and Finance.

Partner with Data Engineering to ensure strong data governance, scalable pipelines and minimal technical debt.

Collaborate with Product and Tech to measure the impact of new features and experiments, and turn insights into action.

Develop advanced analytics techniques alongside our Data Scientist and Product Analytics Manager, including predictive modelling and A/B testing.

Own and optimise our analytics tools (Looker, Amplitude, Google Analytics, Smartlook) to drive self-serve insights across the organisation, identifying and addressing gaps in tooling and data access.

Ensure industry best practice of AI use in tools, techniques and approaches.

Communicate insights clearly, presenting complex findings to senior leadership and non-technical stakeholders.

Advocate for early data involvement in new initiatives, building processes and mindsets that make this happen.

Lead training and education on analytics tools, dashboards and metrics to increase data literacy across teams.

Balance rigour and reality, helping the business make sound and pragmatic decisions using data.