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- Tasks: Transform complex claims data into actionable insights for strategic decision-making.
- Company: Leading global provider of specialty lines insurance and reinsurance.
- Benefits: Competitive salary, bonus, hybrid work, and comprehensive benefits.
- Why this job: Make a real impact by driving operational efficiency and improving customer outcomes.
- Qualifications: Experience in Lloyd's and the London Market with strong analytical skills.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 42000 - 84000 £ per year.
Location: London (Hybrid)
70K + Bonus + Benefits
About
We are working with a leading global provider of specialty lines insurance and reinsurance, renowned for intelligent risk-taking, excellent client service, and delivering strong returns.
Role Overview
We are seeking a Senior Data Analyst – Claims to turn complex claims data into actionable insights that drive strategic decision-making, operational efficiency, and improved customer outcomes. You will support the Global Claims function and work closely with other departments relying on claims data to deliver meaningful results.
Key Responsibilities
- Design and Deliver Data Insights
- Collaborate with report developers to create impactful dashboards and reports.
- Develop and maintain performance monitoring tools, visualisations, and predictive analytics to support claims forecasting, fraud detection, and decision-making.
- Integrate and analyse data from multiple sources across geographies and markets.
- Collaborate with Stakeholders
- Engage with internal stakeholders to understand business needs and translate them into data-driven insights.
- Work cross-functionally to gather quantitative and qualitative data.
- Present findings clearly to support operational, performance, and financial improvements.
- Support Data Transformation Initiatives
- Assist with testing, reporting, and validating data flows for market-wide projects.
- Maintain claims data products, ensuring quality, consistency, and integrity.
- Identify opportunities to improve reporting and analytics processes.
Required Qualifications
- Experience within Lloyd's and the London Market, with strong understanding of claims processes, systems, and insurance products.
- Familiarity with London Market Bureau processes, Xchanging, Lloyd's V5 bordereaux, and London Market Claims systems.
- Strong analytical and problem-solving skills with attention to detail.
- Ability to build strong relationships and collaborate across departments.
- Comfortable managing multiple priorities and committed to professional development.
Preferred Qualifications
- Experience with data visualisation tools such as Power BI or Tableau.
- Ability to identify and escalate potential risks impacting projects or operations.
Sound good? Apply Now!!!
Senior Data Analyst - Claims in London employer: Arthur Recruitment
Contact Detail:
Arthur Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Claims in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work in claims or data analysis. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data insights and visualisations. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to data analysis and claims processes. We recommend using the STAR method to structure your answers and highlight your experience effectively.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Analyst - Claims in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Analyst – Claims. Highlight your experience with claims processes and data analysis tools, and don’t forget to mention any relevant projects that showcase your skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Share specific examples of how you've turned complex data into actionable insights and how you’ve collaborated with stakeholders in the past.
Showcase Your Analytical Skills: In your application, emphasise your strong analytical and problem-solving skills. Mention any experience you have with data visualisation tools like Power BI or Tableau, as these will definitely catch our eye!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Arthur Recruitment
✨Know Your Data Inside Out
Make sure you’re well-versed in the claims data relevant to the role. Brush up on your knowledge of Lloyd's and the London Market, as well as the specific systems and processes mentioned in the job description. Being able to discuss these confidently will show that you’re not just a numbers person, but someone who understands the industry.
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've turned complex data into actionable insights in previous roles. Think about times when your analysis led to improved operational efficiency or customer outcomes. This will demonstrate your problem-solving skills and your ability to make a real impact.
✨Engage with Stakeholders
Be ready to talk about your experience collaborating with different departments. Highlight how you’ve gathered both quantitative and qualitative data to inform your analyses. This shows that you can work cross-functionally and understand the broader business needs, which is crucial for this role.
✨Prepare for Technical Questions
Since familiarity with data visualisation tools like Power BI or Tableau is preferred, be prepared to discuss your experience with these tools. You might be asked to explain how you’ve used them to create impactful dashboards or reports, so have some examples ready to go!
