> Markdown version of [/jobs/ext/4069064-head-of-product-analytics-modelling](https://www.wearedevelopers.com/jobs/ext/4069064-head-of-product-analytics-modelling). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Head of Product Analytics - Modelling - **Company:** Experian Information Solutions, Inc. - **Location:** Nottingham, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Adobe Analytics, A/B Testing, Artificial Intelligence, Data Analysis, Information Engineering, Google Analytics, Recommender Systems, Mixpanel, Web Analytics, Usage Analysis, Sql Optimization, Data Analytics, Amplitude Analytics, Data Pipelines - **Published:** October 7, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=23abbcd5f0f9c594 ## About the Role Essential Experience & Skills * 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. ## Description 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. What You'll Be Doing * 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.