Data Analyst – Specialty

Role Overview

We’re looking for a curious, analytical early-career data analyst to support our Aviation team. The role is dedicated to the Aviation team and focuses on data analysis, reporting, and analytics. The role will report to Anna Bordon, Head of Specialty Insights and Analytics, and spend approximately 25% of each week embedded with the central Data & Analytics team.

What You Will Do

Work with brokers and business stakeholders to understand real-world problems and translate them into data and AI questions. Explore and prototype data ideas, helping to shape user stories and analytical approaches. Clean, analyse and validate data from multiple sources to ensure accuracy and reliability.

Why It Might Be a Fit

A genuine interest in how data can influence business decisions, confidence explaining ideas to both technical and non-technical audiences, and an inquisitive, problem-solving mindset are essential for this role.

Requirements

• A degree (or equivalent) in a numerate or analytical subject — e.g. maths, statistics, data science, economics, engineering or sciences.
• Strong attention to detail and logical thinking.
• A genuine interest in how data can influence business decisions.
• Confidence explaining ideas to both technical and non-technical audiences.
• An inquisitive, problem-solving mindset — comfortable with modern AI tooling and keen to keep pace with a fast-moving landscape.
• Experience using Excel for analysis.
• Exposure to Python, SQL and/or R through study, projects or internships.
• Familiarity with data-visualisation tools such as Power BI (or similar).
• Interest in learning modern data platforms (e.g. Databricks).
• Experience using GenAI / LLMs to support operational workflows and analytics.
• Any exposure to automation tools (e.g. Power Automate) and to producing presentation materials is an advantage.

Benefits

• Competitive salary
• Generous pension
• Private medical cover
• Structured early-career role with on-the-job learning and mentoring
• Exposure to client and operations work across a specialist line of business
• Training and professional qualifications (e.g. Chartered Insurance Institute)
• Reasonable adjustments (e.g. flexible hours, hybrid working)

Tagged as: Data Analysis