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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, professional development, and opportunities for career growth.
- 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 a focus on innovation and data transformation.
The predicted salary is between 36000 - 60000 £ per year.
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.
Senior Data Analyst - Claims employer: Arthur Recruitment
Contact Detail:
Arthur Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Claims
✨Tip Number 1
Network like a pro! Reach out to people in the insurance and reinsurance sectors, especially those who work with claims data. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data insights, dashboards, and any predictive analytics you've done. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of the London Market and claims processes. Be ready to discuss how your analytical skills can improve operational efficiency and customer outcomes.
✨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
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 any relevant tools like Power BI or Tableau. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis in the insurance sector. Share specific examples of how you've turned complex data into actionable insights, just like we do at StudySmarter.
Showcase Your Analytical Skills: In your application, don’t forget to highlight your analytical and problem-solving skills. We love candidates who can demonstrate their ability to manage multiple priorities while delivering quality results, so give us the goods!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Arthur Recruitment
✨Know Your Data Inside Out
As a Senior Data Analyst – Claims, you’ll be expected to have a strong grasp of claims data. Brush up on your knowledge of Lloyd’s and the London Market, including key processes and systems. Be ready to discuss how you’ve used data to drive insights in previous roles.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical prowess during the interview. Bring examples of how you've developed dashboards or performance monitoring tools. If you’ve worked with predictive analytics, be sure to highlight specific projects where your insights led to operational improvements.
✨Engage with Stakeholders
Collaboration is key in this role. Think of instances where you’ve successfully engaged with internal stakeholders to translate their needs into actionable data insights. Be prepared to discuss how you gather both quantitative and qualitative data to support decision-making.
✨Be Ready for Technical Questions
Expect questions about data visualisation tools like Power BI or Tableau. If you have experience with these, prepare to talk about specific projects where you utilised these tools. Also, consider potential risks you’ve identified in past projects and how you addressed them.