Senior Analytics Engineer
Summary
Senior Analytics Engineer at Markel International (specialty insurance) building automated reporting, Power BI dashboards and semantic models to support underwriting, claims and operations across London Market and Asia Pacific. Core stack: Power BI (DAX, Power Query), SQL, Databricks, Data Lake and Azure, plus exploring Genie AI use cases.
As a Senior Analytics Engineer, you will design, develop and deliver analytics solutions to support underwriting, claims and operational decision-making across Markel International's 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
- 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.
- 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