IT & Software

Senior Analytics Engineer

Markel

London · Greater London · United Kingdom

Overview

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
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

Reference: WJ-747_31053925

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