Head of Existing Customer Analytics – Financial Services

Women in Data®; England; Hybrid; GBP 100,000 - 110,000; Full time

Job summary

A leading analytical firm is looking for a Head of Existing Customer Analytics to lead their strategy and a high-impact team. This hybrid role requires strong customer analytics and advanced analytics skills to optimize customer relationships and drive value. The ideal candidate will have a background in service operations and a deep understanding of customer churn dynamics. The company offers a competitive salary and a supportive culture promoting collaboration. Join a community that champions women's contributions to data analytics.

Qualifications

• Strong background in customer analytics, service operations, and lifetime value modelling.
• Proven expertise in using advanced analytics to solve commercial problems.
• Knowledge of Financial Services or Regulated sectors is highly desirable.

Responsibilities

• Lead analytics strategy across the end-to-end service journey.
• Shape how the business serves and retains customers.
• Support key business decisions and long-term value growth.

Skills

Customer analytics

Advanced analytics

SQL

Data visualisation

Commercial acumen

Tools

Power BI

Job 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 advanced 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.

Qualifications

• 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.

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