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- Tasks: Analyse data and provide insights for our Personal Lines Portfolio Management Team.
- Company: Renowned global insurer with a focus on innovation and analytics.
- Benefits: Flexible hours, competitive salary, pension scheme, and annual bonuses.
- Why this job: Join a dynamic team and enhance your skills in coding and analytics.
- Qualifications: Strong numerical and communication skills required.
- Other info: Great opportunities for career progression in a hybrid work environment.
The predicted salary is between 25000 - 32000 £ per year.
A renowned global insurer is seeking a data and analytics professional for a hybrid role in London. The successful candidate will analyze data and provide insights to support our Personal Lines Portfolio Management Team.
This position offers flexible hours and opportunities for career progression, including training in coding and analytics. Salary ranges from £25,000 to £32,000 depending on experience, along with excellent benefits including a pension scheme and annual bonuses.
If you have strong numerical and communication skills, we encourage you to apply.
Insurance Data Insights Analyst (Hybrid, London) employer: Zurich
Contact Detail:
Zurich Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insurance Data Insights Analyst (Hybrid, London)
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insider info and might just get your application noticed.
✨Tip Number 2
Prepare for the interview by brushing up on your data analysis skills. We recommend practising with real datasets and thinking about how you’d present insights to the Personal Lines Portfolio Management Team.
✨Tip Number 3
Show off your communication skills! During interviews, be ready to explain complex data in simple terms. We want to see how you can make data relatable and actionable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Insurance Data Insights Analyst (Hybrid, London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your data analysis skills and any relevant experience. We want to see how your background aligns with the role of an Insurance Data Insights Analyst, so don’t be shy about showcasing your numerical prowess!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this hybrid role and how your skills can benefit our Personal Lines Portfolio Management Team. Keep it engaging and personal – we love a bit of personality!
Showcase Your Communication Skills: Since this role involves providing insights, it’s crucial to demonstrate your ability to communicate complex data clearly. Whether it’s in your CV or cover letter, give examples of how you’ve effectively shared insights in the past.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Zurich
✨Know Your Numbers
As an Insurance Data Insights Analyst, you'll be dealing with a lot of data. Brush up on your numerical skills and be prepared to discuss how you've used data to drive insights in previous roles. Bring examples of your analytical work to the interview.
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining complex data concepts in simple terms. You might be asked to present your findings, so think about how you can make your insights accessible to non-technical team members.
✨Familiarise Yourself with the Company
Research the global insurer and understand their Personal Lines Portfolio Management Team. Knowing their products and market position will help you tailor your answers and show genuine interest in the role during the interview.
✨Prepare for Technical Questions
Since this role involves coding and analytics, expect some technical questions. Review relevant coding languages and analytics tools that are commonly used in the industry. Being able to demonstrate your technical knowledge will set you apart from other candidates.
