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

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.

• 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.

• Significant experience delivering business intelligence, analytics and reporting solutions that drive business decision-making.
• Strong Power BI development skills, including DAX, Power Query (M Language), semantic modelling, dashboard design and performance optimisation. Experience with Kimball methodology and data warehousing principles is advantageous.
• Strong SQL and database development skills, with experience transforming, modelling and optimising large and sophisticated datasets.
• Experience working with modern cloud data platforms such as Databricks, Data Lake, and related Azure services. Python experience is beneficial.
• Experience of automating processes, improving efficiency and implementing scalable analytics solutions.
• Experience owning and supporting enterprise reporting environments, ensuring reporting remains accurate, performant and aligned to business needs.
• Ability to engage, influence and challenge stakeholders, translating business requirements into practical data and analytics solutions.
• Strong communication and interpersonal skills, with the ability to handle multiple priorities in a fast-paced environment.

Are you ready to play your part?

If you’re looking for a place where you can make a meaningful difference, you’ve found it. The work we do at Markel gives people the confidence to move forward, reach their full potential and seize opportunities. You’ll find your fit amongst our diverse global community of optimists and problem-solvers. We’re always pushing each other to think further because we believe that when we strive for better and realise our potential, we can help others reach theirs.

Join us and play your part in something special!

Choose ‘Apply Now’ to fill out our short application, so that we can find out more about you.

At Markel we are all about the people, celebrating the value of a diverse workforce that brings experience and expertise from a wide variety of backgrounds and life circumstances. Whatever your background, if you feel you meet the requirements of this role then we want to hear from you. We are also happy to consider candidates who are looking for flexible working patterns.

We will ensure that individuals are provided with any reasonable accommodations to be able to participate in the job application or interview process and to perform essential job functions if successful. Please contact us via email at rec@markel.com or call us at 0161 507 5827 to request any accommodations or adjustments that may be needed, including alternative formats of documents or information on how to apply offline.