Steamship Mutual

About the Company

Steamship Mutual’s aim is to provide a comprehensive high quality P&I service backed by sound underwriting and strong reserves. Steamship is one of the most diverse and international of Clubs. Today we insure over 9,000 ships, of every conceivable type and size and the Club’s membership is drawn from over 50 countries
Find out more about our comprehensive cover & exceptional service on www.steamshipmutual.com

Listed Jobs

Company Name

Steamship Mutual

Job Title

Data Analyst

Job Description

Job title: Data Analyst Role Summary: Analyze complex datasets to support data-driven decision making across underwriting, claims, capital management, and customer experience. Provide accurate reporting, actionable insights, and process improvement recommendations. Expectations: Deliver timely, accurate, and business‑value reports; continuously enhance reporting processes; collaborate with actuarial, underwriting, claims, and IT teams to understand and meet data needs; support regulatory reporting and compliance. Key Responsibilities: - Collect, clean, validate, and integrate large internal and external data sets. - Perform statistical analysis to support underwriting and claims decisions. - Create and maintain dashboards and reports using SAP Business Objects, Power BI, and other BI tools. - Review and refine report formats and contents with stakeholders to ensure relevance and value. - Identify and propose opportunities for process automation and efficiency gains. - Provide guidance to business users on interpreting and using management information. - Support regulatory reporting and compliance through accurate data analysis. Required Skills: - Strong data analysis and statistical techniques. - Advanced proficiency in Excel, SQL, and BI tools (SAP Business Objects, Power BI). - Excellent data cleansing, validation, and integration abilities. - Clear communication skills; ability to present complex findings simply. - Collaboration and stakeholder engagement. - Attention to detail, problem‑solving, adaptability, and continuous learning. Required Education & Certifications: - Bachelor’s degree in Data Science, Statistics, Mathematics, Actuarial Science, Computer Science, or related field (preferred but not mandatory). - Prior experience working with insurance or financial data, including interpretation, analysis, and reporting.

London, United kingdom

Hybrid

12-12-2025