At a Glance
- Tasks: Analyse data to generate insights and collaborate across various business areas.
- Company: Leading insurance organisation in Greater London with a focus on innovation.
- Benefits: Hybrid working model, flexible arrangements, and opportunities for professional growth.
- Why this job: Make a real impact by transforming data into actionable insights in the insurance sector.
- Qualifications: Strong understanding of insurance KPIs and experience with data visualisation tools.
- Other info: Join a dynamic team and enhance your skills in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading insurance organization in Greater London is seeking an Underwriting Data Insights Analyst. The role focuses on leveraging data analysis to generate actionable insights and build relationships across business areas.
The ideal candidate has:
- a strong understanding of insurance KPIs,
- experience in data visualization tools like Qlik and Power BI,
- proficiency in programming languages such as SAS and SQL.
This position offers a hybrid working model with flexible arrangements.
Hybrid Data Insights Analyst - Underwriting Analytics employer: Travelers Europe
Contact Detail:
Travelers Europe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Insights Analyst - Underwriting Analytics
✨Tip Number 1
Network like a pro! Reach out to people in the insurance industry, especially those working with data insights. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisation projects using Qlik and Power BI. 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 brushing up on insurance KPIs and how they relate to underwriting analytics. We want you to be ready to discuss how your insights can drive business decisions!
✨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 Hybrid Data Insights Analyst - Underwriting Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with insurance KPIs and data visualisation tools like Qlik and Power BI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data insights in underwriting and how your programming skills in SAS and SQL can add value to our team. Keep it engaging and personal!
Showcase Your Analytical Skills: In your application, give examples of how you've used data analysis to drive decisions or improve processes. We love seeing real-world applications of your skills, so don’t hold back on sharing those success stories!
Apply Through Our Website: We encourage you to apply directly 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 from us!
How to prepare for a job interview at Travelers Europe
✨Know Your Data Inside Out
Make sure you brush up on your understanding of insurance KPIs and how they relate to underwriting. Be ready to discuss specific examples of how you've used data analysis to drive insights in previous roles.
✨Show Off Your Visualisation Skills
Familiarise yourself with Qlik and Power BI before the interview. Prepare a couple of examples where you've created impactful visualisations that helped stakeholders make informed decisions.
✨Brush Up on Your Programming Languages
Since proficiency in SAS and SQL is key, be prepared to answer technical questions or even solve problems on the spot. Practising common queries or data manipulation tasks can give you an edge.
✨Demonstrate Your Relationship-Building Skills
This role involves collaboration across various business areas. Think of instances where you've successfully built relationships and how those interactions led to better outcomes. Be ready to share these stories!