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- Tasks: Lead and grow a global Analytics team, driving data-led decision-making across the business.
- Company: Join a dynamic wine company focused on innovation and customer experience.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by shaping data strategy and enhancing customer experiences.
- Qualifications: Experience in analytics leadership and strong collaboration skills required.
- Other info: Be part of a culture that values data-driven insights and continuous learning.
The predicted salary is between 36000 - 60000 £ per year.
We are 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. You will 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.
Location - London, Hybrid (1-2 days per week at our London Office)
RequirementsWhat you will 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.
Head of Analytics London, England, United Kingdom employer: esrhealthcare
Contact Detail:
esrhealthcare Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Analytics London, England, United Kingdom
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its analytics practices. Be ready to discuss how your experience aligns with their goals and how you can help drive data-led decision-making.
✨Tip Number 3
Showcase your skills through real-world examples. Bring along case studies or projects that demonstrate your ability to lead analytics teams and deliver actionable insights. This will set you apart from the competition!
✨Tip Number 4
Don’t forget to 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 Head of Analytics London, England, United Kingdom
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Head of Analytics role. Highlight your leadership experience, data strategy development, and any relevant analytics tools you've worked with. We want to see how you can drive data-led decision-making!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about analytics and how you can contribute to our mission at StudySmarter. Be sure to mention specific examples of how you've led teams or projects in the past.
Showcase Your Data Skills: In your application, don’t forget to mention your proficiency with analytics tools like Looker, Amplitude, or Google Analytics. We’re keen to know how you’ve used these tools to drive insights and decisions in previous roles.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at esrhealthcare
✨Know Your Data Inside Out
As a Head of Analytics, you'll need to demonstrate a deep understanding of data and analytics tools. Brush up on your knowledge of Looker, Amplitude, Google Analytics, and Smartlook. Be ready to discuss how you've used these tools in past roles to drive decision-making and improve business outcomes.
✨Showcase Leadership Skills
This role involves leading a team, so it's crucial to highlight your leadership experience. Prepare examples of how you've developed teams, prioritised workloads, and fostered a collaborative culture. Think about specific instances where your coaching made a difference in performance.
✨Align with Business Goals
Understand the company's OKRs and how analytics can support them. Be prepared to discuss how you would shape and deliver a data vision that aligns with business objectives. This shows that you're not just a data expert but also a strategic thinker who can drive growth.
✨Communicate Complex Insights Simply
You'll need to present findings to senior leadership and non-technical stakeholders. Practice explaining complex data insights in a straightforward manner. Use examples from your previous work where you successfully communicated data-driven decisions to diverse audiences.
