Head of Product Analytics - Modelling
Experian
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What analytics roles keep asking for: SQL (39%), Python (32%), Tableau (18%), Stakeholder management (14%), AWS (13%), Excel (12%) — counted across their open postings here.
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Interviews for analytics roles keep coming back to SQL, Python, Tableau, Stakeholder management. Practise those questions before you sit with Experian.
Questions you are likely to be asked
- Why do you want to join Experian?
- What is your experience with Google Analytics? Tell me one thing you learned the hard way.
- Walk me through a dashboard or report you built. Who used it, and for what?
- Explain a join or a window function you have used, and why you needed it.
- How would you explain a surprising number to a manager who does not believe it?
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Practise the Head of Product Analytics - Modelling at Experian interview free →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. 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. 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. Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here
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Listed on smartrecruiters · posted 2026-10-02. ApplySarthi collects openings and links to application pages; the role is advertised by Experian, not by us.