Senior Analytics Engineer

The Senior Analytics Engineer will work to improve and enhance underwriting and claims capabilities through data-driven decision making, delivering insights, analytical solutions and operational improvements across Markel International's London Market and Asia Pacific divisions. Activities include, but are not limited to, data analysis, process automation, development of data tools and analytical solutions, and the creation of dashboards, reports and visualisations. We’re all about people | We win together | We strive for better | We enjoy the everyday | We think further Who we are:   Business Unit overview:   The International Portfolio Analytics (IPA) team is a dynamic, multi-functional group that operates with creativity, autonomy, and empowerment. Embedded within the underwriting business and represented in senior leadership forums, the team supports the London Market & Asia Pacific divisions within Markel International. Our core focus spans four critical areas: Portfolio Management Pricing Transformation Advanced Analytics Catastrophe & Exposure Management   This role sits within the Data Analytics & Insights team, part of Portfolio Management, which is responsible for delivering valuable insights, solutions, services, and operational improvements across the divisions through the effective use of data and analytics. The team is supported by a dedicated Data Platforming function that provides its technical engineering expertise and, under an established operating model agreed with IT, is accountable for provisioning and running the cloud services the analytics work depends on. This gives IPA the ability to build and deploy solutions at the pace the underwriting business needs, while remaining within Markel's architecture, security and governance standards.   Part of Markel Group (NYSE – MKL) a Fortune 500 company with over 60 offices in 20+ countries, is a holding company for insurance, reinsurance, specialist advisory, and investment operations around the world.   What you’ll be doing:   Design, develop and deliver of business analytics solutions, acting as a senior member of the Data, Analytics and Insights (DAI) capability within IPA. Design and the implementation of automated reporting and analytics solutions, promoting good practice and driving the adoption of data-led decision making across the business. Handle the evaluation, testing and adoption of Genie AI / AI-BI capabilities, working with collaborators to validate outputs, establish governance standards and identify high-value business use cases. Help identify Genie AI use cases that could improve self-service insight, reduce manual reporting effort or make complex data easier for business users to explore. Partner with business colleagues to find opportunities for enhanced insight, supporting underwriting, claims and operational decision making through sophisticated analytics and reporting solutions. Lead the development, enhancement and governance of Power BI dashboards and reporting assets, ensuring alignment with team standards, scalability requirements and guidelines. Design, develop and optimise data models, SQL views, semantic layers and conformed datasets that underpin reporting, analytics and self-service data capabilities. Contribute to the migration of existing data processes to the new Data Analytics Cloud Platform, building knowledge of Data Lake, Databricks, Unity Catalog and related cloud services. Develop, maintain and optimise Databricks notebooks, SQL processes, data pipelines and transformation logic, ensuring solutions are scalable, performant and well documented. Work with the Data Platforming team to shape the data platform roadmap and ensure the tooling, pipelines and cloud services required by the analytics and pricing agenda are delivered.   Key Skills:   Significant experience delivering business intelligence, analytics and reporting solutions that drive business decision-making. Strong Power BI development skills,