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 & 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.