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- Tasks: Assist with data strategies and collaborate across finance and cyber sectors.
- Company: Global risk management firm with a focus on innovation.
- Benefits: Hybrid working model, professional development, and support for advanced qualifications.
- Why this job: Kickstart your career in data analytics and make an impact in risk management.
- Qualifications: Strong analytical mindset, effective communication skills, and a degree (2:1 minimum).
- Other info: Exciting opportunities for growth in a dynamic industry.
The predicted salary is between 28800 - 43200 £ per year.
A global risk management firm is seeking candidates for its graduate programme focused on data analytics. The role involves assisting with data strategies and collaborating in various sectors including finance and cyber.
Candidates should have a strong analytical mindset, effective communication skills, and a degree (2:1 minimum). This opportunity also supports professional development towards an advanced insurance qualification, with a hybrid working model available.
Graduate Data Analyst: Risk & Insurance Analytics employer: Willis Towers Watson
Contact Detail:
Willis Towers Watson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Analyst: Risk & Insurance Analytics
✨Tip Number 1
Network like a pro! Reach out to professionals in the risk and insurance analytics field on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn from others.
✨Tip Number 2
Prepare for interviews by brushing up on your data analytics skills. Be ready to discuss how you've used data to solve problems or make decisions in your studies or previous roles. We want to see that analytical mindset in action!
✨Tip Number 3
Show off your communication skills! Practice explaining complex data concepts in simple terms. This will help you stand out, especially since effective communication is key in this role.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Graduate Data Analyst: Risk & Insurance Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical skills and any relevant experience in data analytics. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analytics and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Show Off Your Communication Skills: Effective communication is key in this role. In your application, demonstrate how you’ve successfully communicated complex data insights in the past. We’re looking for clarity and confidence!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company!
How to prepare for a job interview at Willis Towers Watson
✨Know Your Data
Brush up on your data analytics skills and be ready to discuss specific tools and techniques you've used. Familiarise yourself with common data strategies in risk management, especially in finance and cyber sectors, as this will show your genuine interest in the role.
✨Communicate Clearly
Effective communication is key in this role. Practice explaining complex data concepts in simple terms. You might be asked to present your findings or insights, so think about how you can convey your analytical mindset clearly and confidently.
✨Show Your Passion for Learning
Since this position supports professional development towards an advanced insurance qualification, express your enthusiasm for continuous learning. Share any relevant courses or certifications you’re considering, and how they align with your career goals in data analytics.
✨Prepare Questions
Have a few thoughtful questions ready to ask at the end of your interview. This could be about the company’s approach to data analytics in risk management or opportunities for growth within the hybrid working model. It shows you're engaged and serious about the role.
