Job Title: Underwriting Data Analyst
Location: London
Salary Range: £40,000+
Reporting to: Group Head of Portfolio
Type: Permanent
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:
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Lead the design and development of underwriting dashboards for senior leadership, underwriting functions, and key stakeholders.
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Maintain and continuously improve existing dashboard tools based on evolving business needs.
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Own and maintain documentation related to dashboard development, data sources, quality checks, publishing, and update processes.
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Manage and automate the quality control process for dashboards to ensure accuracy and consistency.
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Make approved changes to internal data tables or databases to support dashboard functionality (subject to appropriate review and governance protocols).
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Automate recurring reporting outputs, such as underwriting performance packs and portfolio update materials.
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Maintain and oversee the Portfolio Management project roadmap, ensuring timely delivery and stakeholder alignment.
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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:
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Strong problem-solving capabilities, with a logical and structured approach to analysis.
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Advanced proficiency in SQL, Power BI, and Microsoft Excel is essential.
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Ability to communicate complex data and analytical concepts in a clear and compelling manner, both visually and verbally.
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Proficiency in Microsoft PowerPoint is preferred.
Background & Experience:
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1–2 years of experience in a data or analytics role is required.
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Experience within the insurance or Lloyd’s market is preferred but not essential.
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Familiarity with IT change control processes is a plus.
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Bachelor’s degree in a quantitative discipline (e.g., Computer Science, Data Analytics, Mathematics, or a related field) is required.
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A Master’s or PhD in a relevant quantitative subject is preferred.
Key Attributes:
The ideal candidate will:
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Be a proactive team player who is willing to contribute beyond their immediate responsibilities.
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Maintain a strong focus on delivering high-impact outputs.
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Demonstrate an “80/20” mindset—prioritising effort where it adds the most value.
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Show a high level of accuracy and thoroughness in analysis.
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Be self-motivated and able to manage tasks independently while keeping projects moving forward.
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Exhibit professionalism and strong interpersonal skills.
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Adapt quickly to a dynamic environment with changing priorities.
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Be motivated by continuous personal and professional development.