Head of Product Analytics - Modelling

• Proven experience leading and developing high-performing Product Analytics, Digital Analytics or Customer Analytics teams.
• Strong experience partnering with Product leadership to influence product strategy, prioritisation and roadmap decisions.
• Strong experience developing predictive models and analytical solutions such as Next Best Action, propensity models, recommendation engines or intelligent decisioning frameworks.
• Expertise in behavioural analytics, customer journey analysis, experimentation and A/B testing methodologies.
• Advanced SQL skills and experience working with large-scale customer, digital and behavioural datasets.
• Strong commercial acumen with the ability to translate customer insights into improved engagement, retention and customer lifetime value.
• Experience establishing product performance frameworks, KPIs and measurement strategies across digital products and customer journeys.
• Experience leveraging AI, automation and advanced analytics techniques to drive product innovation and decision-making.

• Desirable Experience

• Experience within a direct-to-consumer digital business, subscription business, marketplace or e-commerce environment.
• Experience working with digital analytics and experimentation platforms such as GA4, Amplitude, Mixpanel, Adobe Analytics or similar tools.

Benefits package includes:

• Hybrid working - 40% office based
• Great compensation package and discretionary bonus plan
• Core benefits include pension, bupa healthcare, sharesave scheme and more!
• 25 days annual leave with 8 bank holidays and 3 volunteering days. You can also purchase additional annual leave.

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We're looking for a commercially minded, customer-focused analytics leader to head up our Product Analytics function. This is a high-impact leadership role partnering with Product leadership to shape data-driven digital experiences across our direct-to-consumer products. You'll own the Product Analytics strategy, roadmap and delivery, using predictive modelling, experimentation, behavioural insights and AI-driven decisioning to optimise customer journeys, accelerate product innovation, personalisation, and maximise customer engagement, personalisation, retention and lifetime value. You'll lead a high-performing team while ensuring customer and commercial insight is embedded throughout the product lifecycle.

• Own the Product Analytics roadmap, aligning analytical priorities to product strategy, customer needs and commercial objectives.
• Partner with Product Managers, Designers and Engineering teams from concept through to delivery, embedding analytics throughout the product lifecycle.
• Lead customer journey analytics across web and app experiences, identifying behavioural trends, friction points and opportunities to improve engagement, conversion and retention.
• Develop predictive models and analytical solutions that power personalised customer experiences, including Next Best Action, recommendations and intelligent decisioning.
• Influence product strategy and prioritisation through customer insight, behavioural analytics, opportunity sizing and commercial evaluation.
• Support the launch of new products and features through customer analysis, experimentation, measurement frameworks and post-launch performance evaluation.
• Champion experimentation, A/B testing and AI-driven approaches to continuously improve customer engagement, product performance and customer value.
• Collaborate with Marketing, Data Science, Data Engineering and Analytics teams to leverage customer segmentation, behavioural insights and scalable data solutions.