Overview

This role is responsible for developing and managing reporting tools that support the assessment of underwriting performance across the business. The outputs of this role enable informed decision-making at the leadership, underwriting, and portfolio management levels. The position involves end-to-end ownership of dashboards, data processes, and automation initiatives that drive operational efficiency and insight generation.Key Responsibilities

Lead the design and development of underwriting dashboards for senior leadership, underwriting functions, and key stakeholders.Maintain and continuously improve existing dashboard tools based on evolving business needs.Own and maintain documentation related to dashboard development, data sources, quality checks, publishing, and update processes.Manage and automate the quality control process for dashboards to ensure accuracy and consistency.Make approved changes to internal data tables or databases to support dashboard functionality (subject to appropriate review and governance protocols).Automate recurring reporting outputs, such as underwriting performance packs and portfolio update materials.Maintain and oversee the Portfolio Management project roadmap, ensuring timely delivery and stakeholder alignment.Represent Portfolio Management in relevant IT and business intelligence prioritisation meetings to support correct submission and tracking of project and data change requests.Key Skills

Strong problem-solving capabilities, with a logical and structured approach to analysis.Advanced proficiency in SQL, Power BI, and Microsoft Excel is essential.Ability to communicate complex data and analytical concepts in a clear and compelling manner, both visually and verbally.Proficiency in Microsoft PowerPoint is preferred.Background and Experience

1-2 years of experience in a data or analytics role is required.Experience within the insurance or Lloyd\''s market is preferred but not essential.Familiarity with IT change control processes is a plus.Bachelor\''s degree in a quantitative discipline (e.g., Computer Science, Data Analytics, Mathematics, or a related field) is required.A Master\''s or PhD in a relevant quantitative subject is preferred.Key Attributes

The ideal candidate will: Be a proactive team player who is willing to contribute beyond their immediate responsibilities.Maintain a strong focus on delivering high-impact outputs.Demonstrate an "80/20" mindset—prioritising effort where it adds the most value.Show a high level of accuracy and thoroughness in analysis.Be self-motivated and able to manage tasks independently while keeping projects moving forward.Exhibit professionalism and strong interpersonal skills.Adapt quickly to a dynamic environment with changing priorities.Be motivated by continuous personal and professional development.

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