Responsibilities

• Own and deliver the analytics roadmap across Marketing and Product, ensuring analytical effort is aligned to business priorities.
• Lead analytics delivery across customer, marketing and product domains, translating complex business questions into structured analysis and practical recommendations.
• Deliver hands-on analysis across customer behaviour, acquisition, conversion, retention, engagement, product performance, experimentation and commercial opportunities.
• Develop trusted KPIs, dashboards, reporting and measurement frameworks that support confident decision-making.
• Partner with Marketing and Product leaders to inform investment decisions, roadmap priorities and optimisation opportunities.
• Measure the effectiveness of marketing campaigns, product launches, customer journeys and experiments.
• Work closely with Data Engineering to improve data quality, metric definitions, data models and analytical capability.
• Coach and line manage 1–2 Data Analysts, providing direction, feedback and development while raising analytical standards across the team.
• Champion best practice in analytics, documentation, storytelling, quality assurance and reproducible analysis.
• Act as the trusted analytics partner for Marketing, Product and senior commercial stakeholders.

Requirements

• Strong hands-on experience in marketing, product, customer, digital or commercial analytics.
• Excellent SQL skills and a passion for solving complex analytical problems.
• Experience building dashboards, KPIs and reporting using modern BI and visualisation tools.
• A strong understanding of customer behaviour, product performance, campaign measurement and experimentation.
• The ability to translate ambiguous business questions into clear analytical approaches and commercially relevant recommendations.
• Strong stakeholder management skills, with the confidence to influence both technical and non-technical audiences.
• Commercial judgement and the ability to connect analysis to meaningful business outcomes.
• Experience coaching, mentoring or line managing analysts.
• A strong quality mindset with a focus on analytical rigour and continuous improvement.

Preferred

• Experience within insurance, financial services, digital consumer products, mobility or subscription-based businesses.
• Experience with A/B testing, experimentation, attribution, incrementality or marketing effectiveness.
• Experience analysing customer lifetime value, retention, churn or behavioural analytics.
• Experience working alongside Product teams in agile environments.
• Experience partnering with Data Engineering teams to improve data models, governance and quality.

Benefits

• A generous share scheme, giving you the opportunity to become a shareholder and share in Admiral's success.
• 33 days' holiday (including bank holidays), increasing with service, plus the option to buy or sell up to five additional days.
• Ongoing learning and development, leadership programmes and opportunities to grow your career across Admiral Group.
• Flexible hybrid working, with most colleagues spending one or two days a week in our Central Cardiff office.
• A people-first culture recognised as a Great Place to Work for more than 25 years, including awards for Wellbeing and Women.
• To explore our full range of benefits, including wellbeing support, healthcare, family-friendly policies and financial benefits, visit our Benefits Page.