Senior Analytics Engineer

markelcorp; Greater London; Vor Ort; GBP 70.000 - 110.000; Vollzeit

Zusammenfassung

Markel International in London is seeking a Senior Analytics Engineer to improve underwriting and claims capabilities through data-led decision making. You will deliver insights, analytical solutions and operational improvements across the London Market and Asia Pacific divisions.

You will design, develop and govern Power BI dashboards, data models and automated reporting, while leveraging Databricks, Data Lake and Azure services to scale analytics and support business stakeholders.

Qualifikationen

• Significant experience delivering BI, analytics and reporting solutions.
• Strong Power BI development skills with performance optimisation.
• Experience with modern cloud platforms (Databricks, Data Lake, Azure).

Aufgaben

• Design, develop and deliver analytics solutions as part of IPA capability.
• Implement automated reporting and analytics to promote data-led decision making.
• Evaluate Genie AI / AI-BI capabilities and govern outputs.
• Identify Genie AI use cases to improve self-service insights and reduce manual reporting.
• Partner with stakeholders to enhance underwriting, claims and operations insights.
• Lead the development, governance and deployment of Power BI dashboards.
• Develop data models, SQL views and conformed datasets.
• Contribute to migrating processes to the Data Analytics Cloud Platform.
• Maintain and optimise Databricks notebooks and data pipelines.
• Shape the data platform roadmap with the Data Platforming team.

Kenntnisse

Power BI development

SQL

Databricks

Python

Data visualization

Stakeholder engagement

Tools

Data Lake

Jobbeschreibung

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, 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.

What's in it for you?

A great starting sala