Senior Analytics Engineer

Overview

As a Senior Analytics Engineer, you will design, develop and deliver analytics solutions to support underwriting, claims and operational decision-making across Markel Internationals London Market and Asia Pacific divisions. You will build automated reporting, dashboards and data tools, while advancing data-led decision making and governance. You’ll explore Genie AI use cases and contribute to a cloud data platform migration, enabling scalable, high-impact insights. This role sits in a high-collaboration team that balances autonomy with enterprise standards and rapid delivery.

Pay / Benefits

• annual bonus
• up to 16% pension
• private medical and dental cover
• life assurance
• electric car scheme
• 25 days holiday + bank holidays

Responsibilities

• Design and deliver analytics solutions to support underwriting, claims and operations.
• Develop automated reporting, dashboards and analytics assets with governance and best practices.
• Evaluate and adopt Genie AI / AI-BI capabilities and identify high-value use cases.
• Partner with stakeholders to translate requirements into practical data solutions.
• Lead the development, enhancement and governance of Power BI dashboards and semantic models.
• Design and optimise data models, SQL views and conformed datasets for self-service analytics.
• Contribute to migrating data processes to the Data Analytics Cloud Platform (Data Lake, Databricks, Unity Catalog).
• Develop, maintain and optimise Databricks notebooks, SQL processes and data pipelines.

Key requirements

• Significant experience delivering BI, analytics and reporting solutions.
• Strong Power BI development skills (DAX, Power Query, semantic modelling, dashboard design).
• Strong SQL and database development skills for large datasets.
• Experience with Databricks, Data Lake and Azure services.
• Python experience is beneficial.
• Experience automating processes and building scalable analytics solutions.
• Experience owning and supporting enterprise reporting environments.
• Ability to engage with stakeholders and translate requirements into solutions.
• Strong communication and ability to manage multiple priorities.
• stakeholder engagement
• communication
• ability to influence and challenge stakeholders
• Power BI (DAX, M Language, semantic modelling)
• SQL
• Databricks

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