Ofertas › Experian
Experian · Nottingham, United Kingdom · £65,000 - 105,000 per year
Salary: £65,000 - 105,000 per year Requirements: 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 and 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 in a direct-to-consumer digital business, subscription business, marketplace, or e-commerce environment Desirable: Experience with digital analytics and experimentation platforms such as GA4, Amplitude, Mixpanel, Adobe Analytics, or similar tools Responsibilities: Own the Product Analytics roadmap, aligning analytical priorities with product strategy, customer needs, and commercial objectives Partner with Product Managers, Designers, and Engineering teams from concept through 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 new product and feature launches through customer analysis, experimentation, measurement frameworks, and post-launch performance evaluation Champion experimentation, A/B testing, and AI-driven approaches to improve customer engagement, product performance, and customer value Collaborate with Marketing, Data Science, Data Engineering, and Analytics teams to