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- Tasks: Lead a team to deliver data-driven insights that enhance customer relationships and optimise value.
- Company: Dynamic financial services company with a focus on innovation and customer experience.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of customer experience using advanced analytics in a strategic role.
- Qualifications: Strong background in customer analytics and service operations; SQL skills are a plus.
- Other info: Collaborative culture that values technical expertise and commercial awareness.
The predicted salary is between 48000 - 72000 £ per year.
Description
Head of Existing Customer Analytics – Financial Services
Hybrid working – 2/3 days in SW London offices preferred
Salary negotiable dep on experience c£100/110K plus benefits
Reference J13014
Brand new opportunity offering for impact and great scope to \’make the role your own\’ …
As Head of Existing Customer Analytics, you will lead a small but high-impact team responsible for delivering data-driven insights that shape how the business serves, retains, and optimises the relationship and value with their customer base.
You will lead the analytics strategy across the end-to-end service journey, from digital claims and repair booking to engineer visits and post-service feedback, across the UK and EU.
You will lead customer value optimisation and risk management, informing fraud detection and prevention strategies and strategies to deepen customer relationships, reduce churn and maximise lifetime value using advance analytics and technology.
Your work will directly shape the customer experience and operational strategy, helping them deliver faster, smarter, and more effective and cost-efficient service across all channels.
This role is both strategic and hands-on, blending advanced analytics with commercial acumen to support key business decisions and long-term value growth.
Can you offer:
• Strong background in customer analytics, service operations, and lifetime value modelling.
• Proven expertise in using advanced analytics (segmentation, predictive modelling, regression, clustering) to solve commercial problems.
• Knowledge of Insurance or similar Financial Services or Regulated sectors is highly desirable.
• Deep understanding of customer churn dynamics, complaint drivers, and fraud behaviours.
• Strong SQL skills or similar is a plus.
• Excellent data visualisation and storytelling skills (e.g., Power BI).
• Strong commercial acumen with a pragmatic, delivery-focused mindset.
If you are keen to hear more and feel the following statement resonates, please apply without delay – Foster a collaborative, inquisitive and delivery-focused culture that blends technical rigour with commercial awareness.
Head of Existing Customer Analytics - Financial Services employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Existing Customer Analytics - Financial Services
✨Tip Number 1
Network like a pro! Reach out to connections in the financial services sector, especially those who work in customer analytics. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your past projects in customer analytics and data visualisation. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Be ready for case studies! Many companies love to see how you think on your feet. Brush up on your analytical problem-solving skills and be prepared to tackle real-world scenarios related to customer churn and fraud detection.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. Plus, applying directly shows your enthusiasm and commitment to joining our team at StudySmarter.
We think you need these skills to ace Head of Existing Customer Analytics - Financial Services
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Head of Existing Customer Analytics. Highlight your experience in customer analytics and any relevant projects that showcase your skills in advanced analytics and commercial acumen.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've used data-driven insights to improve customer relationships and reduce churn in previous positions.
Showcase Your Technical Skills: Don’t forget to mention your SQL skills and any experience with data visualisation tools like Power BI. We want to see how you can blend technical expertise with strategic thinking to drive results.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Datatech Analytics
✨Know Your Analytics Inside Out
Make sure you brush up on your customer analytics knowledge, especially around segmentation, predictive modelling, and regression techniques. Be ready to discuss how you've applied these in real-world scenarios, as this will show your practical understanding and ability to solve commercial problems.
✨Showcase Your Strategic Mindset
Prepare examples that highlight your strategic thinking and how you've blended advanced analytics with commercial acumen in previous roles. Think about specific instances where your insights directly influenced business decisions or improved customer relationships.
✨Familiarise Yourself with the Industry
Since knowledge of the Financial Services sector is highly desirable, do some research on current trends, challenges, and innovations in customer analytics within this field. Being able to speak intelligently about industry-specific issues will set you apart from other candidates.
✨Master the Art of Storytelling with Data
Practice how to present your data visualisations effectively, especially using tools like Power BI. You should be able to tell a compelling story with your data that demonstrates how your insights can lead to better customer experiences and operational strategies.
