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- Tasks: Lead a team to deliver data-driven insights that enhance customer relationships and optimise value.
- Company: Guaranteed Tenants Ltd, a forward-thinking financial services company.
- Benefits: Negotiable salary, hybrid working, and a collaborative culture.
- Why this job: Shape customer experiences and drive impactful business decisions with advanced analytics.
- Qualifications: Strong background in customer analytics and service operations required.
- Other info: Join a dynamic team focused on innovation and growth in the financial sector.
The predicted salary is between 85000 - 115000 £ per year.
Guaranteed Tenants Ltd is looking for a Head of Existing Customer Analytics to lead a high-impact team delivering data‐driven insights that shape how the business serves, retains, and optimises the relationship and value with its customer base.
Hybrid working – 2‐3 days per week in SW London offices preferred.
Salary: Negotiable, dependent on experience – £100‐110K plus benefits.
Responsibilities
- 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.
- Drive 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 advanced analytics and technology.
- Shape the customer experience and operational strategy, helping deliver faster, smarter, and more cost‐efficient service across all channels.
- Blend advanced analytics with commercial acumen to support key business decisions and long‐term value growth.
Qualifications
- Strong background in customer analytics, service operations, and lifetime value modelling.
- Proven expertise in segmentation, predictive modelling, regression and clustering to solve commercial problems.
- Knowledge of insurance or similar financial services or regulated sectors highly desirable.
- Deep understanding of customer churn dynamics, complaint drivers and fraud behaviours.
- Strong SQL skills or equivalent; 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 – foster a collaborative, inquisitive and delivery‐focused culture that blends technical rigour with commercial awareness – please apply without delay.
Seniority level: Director
Employment type: Full‐time
Job function: Finance
Head of Existing Customer Analytics - Financial Services in London employer: Guaranteed Tenants Ltd
Contact Detail:
Guaranteed Tenants Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Existing Customer Analytics - Financial Services in London
✨Tip Number 1
Network like a pro! Reach out to connections in the financial services sector and let them know you're on the hunt for a Head of Existing Customer Analytics role. A personal recommendation can go a long way in landing that interview.
✨Tip Number 2
Prepare for those interviews by brushing up on your customer analytics knowledge. Be ready to discuss how you've used data to drive customer value optimisation and tackle churn. Show them you’re the perfect fit for shaping their analytics strategy!
✨Tip Number 3
Don’t just wait for job postings! Keep an eye on our website and apply directly. Sometimes, the best opportunities come from being proactive and showing your interest before a position is even advertised.
✨Tip Number 4
Showcase your storytelling skills with data during interviews. Use examples from your past experiences where you blended advanced analytics with commercial acumen to make impactful business decisions. This will highlight your ability to deliver results!
We think you need these skills to ace Head of Existing Customer Analytics - Financial Services in London
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, service operations, and any relevant financial services knowledge. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about customer analytics and how you can drive value optimisation. Be sure to mention specific examples from your past that demonstrate your expertise.
Showcase Your Technical Skills: Don’t forget to highlight your SQL skills and any data visualisation tools you’re familiar with, like Power BI. We love seeing how you blend technical know-how with commercial acumen, so make it clear in your application!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Guaranteed Tenants Ltd
✨Know Your Analytics Inside Out
Make sure you brush up on your customer analytics knowledge, especially around segmentation and predictive modelling. Be ready to discuss how you've used these skills in past roles to drive customer value and reduce churn.
✨Showcase Your Commercial Acumen
Prepare examples that highlight your ability to blend advanced analytics with commercial insights. Think about specific instances where your analytical skills led to significant business decisions or improvements in customer experience.
✨Familiarise Yourself with the Company’s Landscape
Research Guaranteed Tenants Ltd and its position within the financial services sector. Understand their customer base and any recent news or changes in the industry that could impact their operations. This will show your genuine interest and help you tailor your responses.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to customer churn or fraud detection. Practice articulating your thought process clearly, demonstrating your analytical approach and how you would apply it to real-world challenges.
