Head of Performance Analytics - Modelling

• Proven experience leading and developing high-performing Analytics, Commercial Analytics or Performance Analytics teams.
• Proven people leadership, stakeholder management and strategic business partnering experience.
• Strong commercial acumen with experience partnering senior stakeholders across Commercial, Finance, Trading or Bureau functions to influence strategic decision-making.
• Strong expertise in developing and applying analytical frameworks and predictive models, including Customer Lifetime Value (LTV), retention, upsell, churn, customer profitability and propensity modelling.
• Advanced SQL skills and experience working with large, complex customer and commercial datasets.
• Strong track record of translating complex analysis into actionable insights and measurable business outcomes.
• Experience establishing business performance frameworks, KPIs and executive-level reporting.
• Ability to prioritise and manage an analytics roadmap aligned to business objectives and commercial outcomes.
• Experience leveraging AI, automation and advanced analytics techniques to improve insight generation and decision-making.

• Experience within subscription, marketplace, financial services or other consumer-focused businesses.
• Knowledge of commercial optimisation techniques, including pricing, customer value, profitability and growth analytics.
• Experience using Bureau data, external market intelligence and benchmarking to identify commercial opportunities and market trends.

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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Head of Performance Analytics - ECS

We're looking for a commercially minded, strategically driven analytics leader to head up our Performance Analytics function. This is a high-impact leadership role at the heart of business decision-making, acting as the strategic analytics partner to Memberships, Commercial and Finance leadership.

You'll own the Performance Analytics strategy, roadmap and delivery, developing the analytical frameworks, predictive models, performance insights and reporting that explain business performance, maximise customer value and identify future growth opportunities. Leveraging Experian's subscriptions and Bureau data, internal performance data and external market intelligence, you'll uncover commercial opportunities, influence strategic decisions and ensure data-driven insight is embedded across the business.

You'll also lead and develop a high-performing team, fostering a culture of commercial thinking, technical excellence, innovation and measurable business impact.

• Own the Performance Analytics roadmap, aligning analytical priorities to business strategy and balancing stakeholder demand with long-term commercial value creation.
• Act as the strategic analytics partner to Commercial, Memberships, Finance, Trading and Bureau leadership, influencing decision-making through data-driven insight and recommendations.
• Lead, coach and develop a high-performing team of analysts, fostering a culture of commercial thinking, technical excellence and continuous improvement.
• Develop and evolve predictive models and analytical frameworks that support key commercial metrics, including Customer Lifetime Value (LTV), retention, churn, customer profitability and growth opportunities.
• Own the business performance framework, delivering trusted metrics, reporting and insights that explain performance drivers and support executive decision-making.
• Lead analytics for the subscription and marketplace businesses, identifying opportunities to improve customer value, commercial performance and long-term growth.
• Leverage Experian Bureau data, internal performance data and external market intelligence to benchmark performance, identify trends and quantify new commercial opportunities.
• Partner with Marketing, Product, Finance, Data Engineering and Technology teams to deliver actionable analytical programmes, while embedding AI and automation to improve efficiency and business outcomes.