Data Analyst

• Produce high-quality management information (MI) across a range of Underwriting and Performance KPIs (e.g. premium, loss ratio, retention, new business, rate changes).
• Design, build and maintain regular reports and dashboards for stakeholders across the Underwriting and Actuarial Pricing functions.
• Build and maintain financial and performance forecasting models (e.g. volume, premium and loss forecasts) to support planning, budgeting and portfolio steering.
• Support the Head of Underwriting Analytics in generating actionable insights and recommendations for underwriting, pricing and portfolio management.
• Analyse trends in claims, exposure and pricing to identify opportunities and risks.
• Help improve data quality by identifying issues, contributing to data remediation and defining better data processes and controls.
• Enhance efficiency through process automation (for example, automating recurring reports, data refreshes and quality checks).
• Document processes, assumptions and methods in a clear, concise and repeatable way.
• Collaborate closely with Underwriting, Pricing, Finance and Data teams to understand requirements and deliver practical, user-friendly solutions.
• Contribute to ad-hoc analysis and projects (e.g. profitability deep dives, product reviews, portfolio segmentation, pricing change impact assessments).

Data Analyst – Underwriting Analytics

• Translates operational and business problems into clearly scoped digital work
• Owns digital initiative prioritization, backlog management, and value realization
• Coordinates delivery across data, automation, analytics, and business stakeholders
• Ensures solutions are adopted, measured, and iterated based on realized value
• Acts as the single point of accountability for digital outcomes (not just execution)
• Defines and governs KPIs, metrics, and data definitions to ensure consistency and comparability across locations
• Understands the evolving data architecture requirements and builds tools which are aligned

Data & Analytics Manager

• Partner with Product Managers and teams to define success metrics, instrument features, and measure the impact of product changes and releases.
• Build and maintain Looker dashboards and explores that surface product usage, engagement, retention, and funnel metrics to stakeholders across the business.
• Conduct deep-dive analyses on user behaviour, feature adoption, and churn signals to surface actionable insights that inform product roadmap decisions.
• Define and maintain a product metrics framework, ensuring consistency in how KPIs are measured and reported across teams.
• Support A/B testing and experimentation, helping teams design experiments, interpret results, and make statistically sound decisions.
• Collaborate with Data Engineering to ensure the right events and data points are captured, pipelines are reliable, and the data model supports product analytics needs.
• Proactively monitor product metrics, flagging anomalies, trends, and opportunities to the relevant teams.
• Contribute to data literacy across product teams, coaching team members on self-serve analytics, dashboard use, and metric interpretation.
• Support ad hoc analytical requests from product and leadership, delivering timely and rigorous analysis.

Product Data Analyst

• Analyze user behavior, product performance, and key business metrics to identify trends and opportunities.
• Create and maintain interactive dashboards and reports using tools like Tableau, Looker, Power BI, or Google Data Studio.
• Collect, clean, and structure large datasets to ensure accuracy and usability.
• Define and track KPIs for marketing, product, and business performance.
• Work with SQL, Python, or R to extract, analyze, and manipulate data.
• Collaborate with product managers, engineers, and marketing teams to provide data-driven insights.
• Conduct A/B testing and experiment analysis to improve product features and user engagement.
• Identify bottlenecks and opportunities in user journeys and customer funnels.
• Present findings in a clear and compelling way to stakeholders and leadership teams.
• Stay up to date with industry trends, analytics best practices, and emerging data tools.

• Lead, inspire, and develop a team of analysts to deliver high-impact insights, tools, and analytics.
• Own the end-to-end delivery of large-scale, high-profile projects.
• Proactively identify and surface Trading insights, issues and trends relating to KPI performance.
• Collaborate with senior stakeholders to effectively identify opportunities for growth.
• Refine and improve ways of working with UKI Trading Teams.
• Play a key role in building a world-class team by leading hiring and developing talent.
• Build and strengthen relationships across the UKI Trading Tribe and wider business.
• Champion a culture of ambition, innovation, and continuous improvement.
• Drive the strategy and adoption of AI and advanced analytics.

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Data Analyst – Underwriting Analytics

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