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- Tasks: Lead a dynamic analytics and data science team to drive business performance.
- Company: Exciting global eCommerce brand with a focus on growth and innovation.
- Benefits: Competitive salary, bonus, hybrid work model, and leadership opportunities.
- Why this job: Shape the future of analytics in a thriving digital environment.
- Qualifications: Experience in leading analytics teams and strong technical skills in SQL and Python.
- Other info: Join a company in a transformative phase with high visibility and impact.
The predicted salary is between 84000 - 120000 £ per year.
A high-growth digital consumer brand is looking for a Head of Analytics & Data Science to lead and enhance a modern analytics and data science function that directly shapes business performance. This is both a leadership and transformation opportunity — perfect for someone who’s led teams before and thrives in environments where analytics and data science are positioned as a true commercial partner to the business.
The role involves taking ownership of a multidisciplinary analytics and data science team covering product, marketing, and commercial insights. The focus will be to elevate the team’s analytical output, cement credibility across senior stakeholders, and deliver insights to inform product, customer, and growth decisions.
Reporting into the Director of Data, you’ll be a trusted strategic counterpart — helping to set direction for data-driven decision making across the business.
Key responsibilities:- Lead and develop a team of analysts and data scientists spanning product, growth, and commercial.
- Partner with senior stakeholders to define and deliver the analytics roadmap.
- Drive analytical rigour and storytelling that influences decision-making at board and leadership level.
- Oversee experimentation and advanced modelling projects (LTV, next-best-action, customer retention).
- Support the use of data science techniques amongst traditional analytics to improve the sophistication of the use of data internally.
- Modernise BI and reporting, improving data trust and self-serve capabilities across the organisation.
- Proven experience leading an analytics function (including Data Scientists) in a fast-paced digital or consumer business.
- A strategic, commercially-minded thinker who enjoys challenging assumptions and driving clarity from data.
- Strong technical literacy and hands-on skills with SQL, data visualisation tools and Python, and a strong grasp of experimentation frameworks such as A/B testing.
- A collaborative leader able to inspire teams, manage managers, and partner effectively with Product, Data, and Commercial leaders.
This business has entered an exciting reset phase — profitable, well-funded, and investing in its data and product capabilities for the next stage of growth. You’ll have high visibility across the leadership team, freedom to shape the function, and the opportunity to influence a transformation that’s already underway.
Head of Analytics in Plymouth employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Analytics in Plymouth
✨Tip Number 1
Network like a pro! Reach out to connections in the industry, attend meetups, and engage on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Prepare for those interviews by practising your storytelling skills. We want you to showcase your analytical journey and how you've influenced decisions in past roles. Make it relatable and impactful!
✨Tip Number 3
Don’t shy away from asking insightful questions during interviews. This shows your genuine interest in the role and helps you understand if the company aligns with your values. We love seeing candidates who are curious!
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we’re always looking for passionate individuals ready to make an impact in analytics and data science.
We think you need these skills to ace Head of Analytics in Plymouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Head of Analytics. Highlight your leadership experience and any relevant projects that showcase your ability to drive data-driven decision-making.
Craft a Compelling Cover Letter: Use your cover letter to tell your story! Explain why you're passionate about analytics and how your strategic mindset can help shape the future of the company. Don’t forget to mention your experience with SQL and Python!
Showcase Your Achievements: Quantify your successes in previous roles. Whether it’s improving team performance or driving significant business outcomes, numbers speak volumes. We want to see how you’ve made an impact!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Omnis Partners
✨Know Your Analytics Inside Out
Make sure you’re well-versed in the latest analytics trends and tools, especially SQL, Python, and data visualisation techniques. Brush up on your knowledge of A/B testing and how it can drive business decisions, as this will show your technical literacy and hands-on skills.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading teams and driving transformation. Think about times when you’ve inspired your team or partnered with senior stakeholders to deliver impactful insights. This will demonstrate your ability to manage managers and collaborate effectively.
✨Understand the Business Context
Research the company’s current position in the market and its growth strategy. Be ready to discuss how you can elevate the analytics function to support product, customer, and growth decisions. This shows you’re not just a data expert but also a strategic thinker who understands commercial implications.
✨Prepare for Storytelling
Practice how you would present complex data insights in a compelling way. Think about how you can use storytelling to influence decision-making at the board level. Being able to communicate your findings clearly and persuasively is key to cementing credibility with senior stakeholders.