Graduate / Early Career Specialty Data Analyst – Marine, Cargo and Logistics 

We’re looking for a curious, analytical graduate or early‑career Data Analyst to join our Marine, Cargo and Logistics Specialty team. 

This is a hands‑on role where you’ll learn how data is used in business decisions, working closely with brokers, data specialists, and technology teams. You’ll help turn complex datasets into clear insights that support clients and business across sport, media, and entertainment. You don’t need to know everything on day one. We’re looking for strong foundations, curiosity, and the motivation to learn fast. 

With support and mentoring from experienced analysts, you’ll: 

• Work with brokers and business stakeholders to understand real‑world problems and translate them into data questions. 

• Explore and prototype data ideas, helping shape user stories and analytical approaches. 

• Clean, analyse and validate data from multiple sources to ensure accuracy and reliability. 

• Build insights, visuals and case studies that are used in client discussions and proposals. 

• Spot patterns and trends in data and help explain what they mean in practice. 

• Use modern data and analytics tools to turn raw data into clear, actionable outputs. 

• Collaborate with data, technology and analytics teams across the wider group. 

• Document your work and follow best‑practice data standards. 

What we are looking for: 

Essential 

• A degree (or equivalent) in a numerate or analytical subject (e.g. maths, statistics, data science, economics, engineering, 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 

Technical skills (you don’t need all of these on day one): 

• 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 (Databricks) 

Nice to have (but not required) 

• University or personal projects involving real datasets 

• Basic understanding of data modelling or data pipelines 

• Curiosity about GenAI / LLMs and how they can support analytics 

• An interest in insurance, sport, entertainment, or commercial analytics 

What you’ll get 

• A structured early‑career role with on‑the‑job learning and mentoring 

• Exposure to client and operations work  

• Training and professional qualifications (e.g. Chartered Insurance Institute) 

• Competitive salary, generous pension and private medical cover