Senior Analytics Engineer at Markel | GB | Rezi

Senior Analytics Engineer at Markel

Senior Analytics Engineer

Markel · GB

3 weeks ago

Senior Analytics Engineer

Markel · GB

25 days ago
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About the Role

The Senior Analytics Engineer will 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 data analysis, process automation, development of data tools and analytical solutions, and the creation of dashboards, reports, and visualizations.

Responsibilities

  • Design, develop, and deliver business analytics solutions as a senior member of the Data, Analytics and Insights (DAI) capability.
  • Design and implement automated reporting and analytics solutions, promoting good practice and driving data-led decision making.
  • Evaluate, test, and adopt Genie AI / AI-BI capabilities, validating outputs, establishing governance standards, and identifying high-value business use cases.
  • Identify Genie AI use cases to improve self-service insight, reduce manual reporting effort, or simplify complex data exploration for business users.
  • 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 optimize 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 optimize 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 delivery of required tooling, pipelines, and cloud services for the analytics and pricing agenda.

Requirements

  • Significant experience delivering business intelligence, analytics, and reporting solutions that drive business decision-making.
  • 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.
  • Ability to handle multiple priorities in a fast-paced environment.

Skills

  • Power BI development (DAX, Power Query (M Language), semantic modelling, dashboard design, performance optimisation)
  • Kimball methodology and data warehousing principles (advantageous)
  • SQL and database development
  • Transforming, modelling, and optimising large and sophisticated datasets
  • Modern cloud data platforms (Databricks, Data Lake, Azure services)
  • Python (beneficial)
  • Automating processes
  • Improving efficiency
  • Implementing scalable analytics solutions

Location

  • London

Work Type

  • Hybrid

Experience Level

  • Senior

Salary/Compensations

  • Great starting salary plus annual bonus

Benefits

  • Up to 16% company pension scheme
  • Private medical and dental cover
  • Menopause plan
  • Emergency care benefit (children/Pets/dependants)
  • Income protection
  • Life assurance
  • Electric car scheme
  • Travel insurance
  • 25 days paid holiday plus Bank Holidays
  • Opportunity to buy/sell extra leave
  • Countless opportunities to learn new skills and develop in your career

About the Company

  • We’re all about people | We win together | We strive for better | We enjoy the everyday | We think further
  • The International Portfolio Analytics (IPA) team is a dynamic, multi-functional group that operates with creativity, autonomy, and empowerment.
  • 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.
  • The Data Analytics & Insights team is part of Portfolio Management, responsible for delivering valuable insights, solutions, services, and operational improvements through the effective use of data and analytics.
  • The team is supported by a dedicated Data Platforming function providing technical engineering expertise and accountability for provisioning and running cloud services.
  • Markel is part of Markel Group (NYSE – MKL), a Fortune 500 company with over 60 offices in 20+ countries, a holding company for insurance, reinsurance, specialist advisory, and investment operations around the world.
  • 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.
  • At Markel we are all about the people, celebrating the value of a diverse workforce that brings experience and expertise from a wide variety of backgrounds and life circumstances.

Equal Opportunity

  • Whatever your background, if you feel you meet the requirements of this role then we want to hear from you.
  • We are also happy to consider candidates who are looking for flexible working patterns.
  • We will ensure that individuals are provided with any reasonable accommodations to be able to participate in the job application or interview process and to perform essential job functions if successful.
  • Please contact us via email at rec@markel.com or call us at 0161 507 5827 to request any accommodations or adjustments that may be needed, including alternative formats of documents or information on how to apply offline.