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Senior Analytics Engineer

Job in City of Westminster, Central London, Greater London, England, UK
Listing for: EC Insurance Company
Full Time position
Listed on 2026-10-17
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Intelligence, Data Engineering
Salary/Wage Range or Industry Benchmark: 70000 - 100000 GBP Yearly GBP 70000.00 100000.00 YEAR
Job Description & How to Apply Below
About the Role

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. 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.

Responsibilities
  • Design, develop and deliver business analytics solutions, acting as a senior member of the Data, Analytics and Insights (DAI) capability within IPA.
  • Design and 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…
Position Requirements
10+ Years work experience
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