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- Tasks: Prepare and present data insights while structuring Excess of Loss property retro layers.
- Company: Global risk advisory firm based in London with a vibrant team culture.
- Benefits: Professional development opportunities and a hybrid work environment.
- Why this job: Join a dynamic team and make an impact in the insurance analytics field.
- Qualifications: Strong analytical skills, programming knowledge in Python and SQL, and effective communication.
- Other info: Exciting career growth potential in a collaborative atmosphere.
The predicted salary is between 28800 - 48000 £ per year.
A global risk advisory firm in London is seeking a Commercial Business Analyst to join their Analytics team. This hybrid role involves preparing and structuring Excess of Loss property retro layers and presenting data insights to clients.
The candidate should possess strong analytical skills, programming knowledge in Python and SQL, and the ability to communicate effectively with clients.
Opportunities for professional development and a vibrant team culture are offered.
Insurance Analytics Pro: Renewal Insights & Data Tools in London employer: Marsh & McLennan Companies, Inc.
Contact Detail:
Marsh & McLennan Companies, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insurance Analytics Pro: Renewal Insights & Data Tools in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in analytics or insurance. 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 analytical projects, especially those involving Python and SQL. 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 client communication. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to stay updated on new roles as they come up.
We think you need these skills to ace Insurance Analytics Pro: Renewal Insights & Data Tools in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical skills and programming knowledge in Python and SQL. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our Analytics team. Remember, we love a good story, so share your journey in the field of data analytics.
Showcase Your Communication Skills: Since this role involves presenting data insights to clients, make sure to highlight any experience you have in client-facing roles. We value effective communication, so let us know how you’ve successfully conveyed complex information 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 Marsh & McLennan Companies, Inc.
✨Know Your Data Tools
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these tools in past projects, as well as any specific data insights you've derived. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Prepare for Client Communication
Since this role involves presenting data insights to clients, practice explaining complex data concepts in simple terms. Think of examples where you've successfully communicated analytical findings to non-technical stakeholders. This will demonstrate your ability to bridge the gap between data and client understanding.
✨Understand Excess of Loss Structures
Familiarise yourself with Excess of Loss property retro layers and how they function within the insurance industry. Being able to discuss this topic confidently will show your potential employer that you have a solid grasp of the specific challenges and considerations in their field.
✨Show Enthusiasm for Professional Development
Express your eagerness to grow within the role and take advantage of the professional development opportunities offered. Share any relevant courses or certifications you’re interested in pursuing, as this reflects your commitment to continuous learning and improvement in analytics.
