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.

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.

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.
Portfolio Management
Pricing Transformation
Advanced Analytics
Catastrophe & Exposure Management

A great starting salary plus annual bonus & strong benefits package…
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, with the opportunity to buy/sell extra leave
As well as other great benefits on offer there are countless opportunities to learn new skills and develop in your career!

562 Full time Tech / Digital / IT jobs in Hillingdon, Hillingdon