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For Companies At a Glance
- Tasks: Drive innovation by developing new products and tools for clients and colleagues.
- Company: Aon is a global leader in risk management, helping people make better decisions.
- Benefits: Enjoy a collaborative work environment with opportunities for personal and team development.
- Why this job: Join a passionate team dedicated to making a positive impact through data-driven insights.
- Qualifications: Must have a 2.1 degree and 2+ years in (re)insurance analysis; strong analytical skills required.
- Other info: Engage with multi-disciplinary teams and present findings to senior stakeholders.
The predicted salary is between 36000 - 60000 £ per year.
Description
Digital & Data Analyst
Aon is currently looking to broaden our Global Facultative Reinsurance team in London. In this role, you will be responsible for driving innovation through supporting the development of new product innovations, and building market-leading differentiated value-added tools for our colleagues and clients
Responsibilities include both the technical delivery of work and the communication of findings to brokers and clients. The candidate will be expected to engage with other colleagues, multi-disciplinary teams and clients as required.
Aon is in the business of better decisions
At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.
As an organisation, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed.
What the day will look like
- Exploiting Aon’s data assets to produce MI for brokers, markets, and clients
- Identify new automatic data capture tools & processes to enhance Aon’s data repository
- Apply best-practice data validation techniques when preparing data for analysis
- Collaborating with and coordinating analytical teams in the development of new portfolio solutions
- Presentation of insights to senior stakeholders across your region(s)
- Delivery of bespoke and recurring analytical reports
- Developing segmentation solutions to better understand the Aon portfolio
- Working collaboratively across a multi-disciplinary team environment with colleagues and client stakeholders
- Demonstrating commitment to personal & team development
Skills and experience that will lead to success
- Your skills and qualifications will include:
- Highly numerate graduate (minimum 2.1 degree) with 2+ years’ experience in (re)insurance analysis (actuarial, business, reserving, underwriting)
- Analytical skills – strong data analysis and manipulation.
- Expert user in Excel, SQL, Tableau/PowerBI (R / Python would be beneficial)
- Communicator – able to present complex ideas simply
- Time management skills – managing own workload effectively
- Strong project management skills – understanding of own role in supporting delivery
- Critical thinking – problem diagnosis and problem solving
- Creative, innovative and logical thinking
- Excellent attention to detail
- Ability to build and maintain positive relationships
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Reinsurance Digital & Data Analyst at Aon – United Kingdom employer: Dataleum
Contact Detail:
Dataleum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Reinsurance Digital & Data Analyst at Aon – United Kingdom
✨Tip Number 1
Familiarise yourself with Aon's data assets and tools. Understanding how they leverage data for decision-making will give you an edge in interviews, as you'll be able to discuss specific examples of how you can contribute to their goals.
✨Tip Number 2
Brush up on your technical skills, especially in Excel, SQL, and data visualisation tools like Tableau or PowerBI. Being able to demonstrate your proficiency in these areas during discussions will show that you're ready to hit the ground running.
✨Tip Number 3
Prepare to showcase your analytical thinking and problem-solving abilities. Think of examples from your past experience where you've successfully tackled complex data challenges, as this will resonate well with the role's requirements.
✨Tip Number 4
Network with current or former employees at Aon, especially those in similar roles. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach when applying through our website.
We think you need these skills to ace Reinsurance Digital & Data Analyst at Aon – United Kingdom
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis and (re)insurance. Emphasise your analytical skills, particularly with tools like Excel, SQL, and Tableau/PowerBI, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data-driven decision-making and how you can contribute to Aon's mission. Mention specific examples of past projects where you've successfully used data analysis to drive innovation.
Showcase Your Technical Skills: Clearly outline your technical skills in your application. If you have experience with R or Python, be sure to mention it, as this could set you apart from other candidates.
Highlight Team Collaboration: Aon values teamwork, so include examples of how you've worked collaboratively in multi-disciplinary teams. Discuss any experiences where you presented insights to stakeholders or contributed to team development.
How to prepare for a job interview at Dataleum
✨Showcase Your Analytical Skills
As a Digital & Data Analyst, your analytical skills are crucial. Be prepared to discuss specific examples of how you've used data analysis in previous roles, particularly in the context of (re)insurance. Highlight your proficiency in tools like Excel, SQL, and Tableau/PowerBI.
✨Communicate Complex Ideas Simply
Since you'll be presenting findings to brokers and clients, practice explaining complex concepts in a straightforward manner. Use clear examples and avoid jargon to ensure your audience understands your insights.
✨Demonstrate Project Management Skills
Aon values strong project management abilities. Be ready to discuss how you've managed your workload in past projects, including any tools or methodologies you used to keep everything on track and deliver results.
✨Emphasise Team Collaboration
This role requires working with multi-disciplinary teams. Share experiences where you've successfully collaborated with others, highlighting your ability to build positive relationships and contribute to team success.
