At a Glance
- Tasks: Manage and analyse M&A insurance data to support decision-making and reporting.
- Company: Join Aon, a leader in insurance and risk management with a collaborative culture.
- Benefits: Enjoy flexible working, comprehensive benefits, and two Global Wellbeing Days each year.
- Why this job: Shape strategic decisions with your data expertise in a fast-growing sector.
- Qualifications: Strong Excel skills and experience with data analysis tools like Power BI or SQL.
- Other info: Inclusive workplace that values your authentic self and supports continuous learning.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Are you keen to join Aon in a role that sits at the intersection of data, underwriting, and broking, with a particular focus on Warranty & Indemnity (W&I) / Representations & Warranties (R&W) and Tax Contingent insurance? Can you play a key part in ensuring the accuracy, quality, and insightfulness of our data to support senior colleagues, insurers, and internal collaborators? If so, we would love to hear from you in connection with this brand-new role, based in our AMATS team, with the flexibility to work virtually and from our flagship London office.
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
- Manage, cleanse, and validate data associated with M&A insurance, investigating anomalies and maintaining high data-quality standards across systems.
- Build and maintain insightful dashboards and reports, giving senior broking leaders visibility on performance, pipeline, trends, and key trading metrics.
- Apply insurance knowledge to correctly structure, classify, and interpret deal data, ensuring accurate reflection of coverage and insurer requirements.
- Support the design and optimisation of facilities/lineslips, using data to shape pricing bands, participation structures, and reporting packs for insurers.
- Act as the bridge between data teams and brokers, translating raw data into meaningful insurance language, defining business rules, and guiding enhancements to data models and reporting pipelines.
How this opportunity is different
This is a role where your data expertise truly shapes decisions. You’ll work with rich, complex datasets to uncover insights that directly influence senior leaders — helping steer strategy across high-profile M&A and specialty insurance lines. If you’re someone who loves solving problems, elevating data integrity, and making a visible difference in a fast-growing part of the business, this role gives you the platform to do exactly that!
Skills and experience that will lead to success
- Advanced data capability — strong Excel (complex formulas, pivots, lookups, Power Query/Pivot) plus experience with tools like Power BI, Tableau, or SQL for high-quality analysis.
- Data integrity & analytical rigour — comfortable handling large, complex datasets, interrogating data, spotting inconsistencies, and performing thorough sense-checks.
- Insightful reporting — ability to build dashboards and MI that tell a clear story for senior collaborators, ensuring outputs are meaningful and commercially relevant.
- Insurance & facilities exposure — ideally experience in M&A insurance, specialty lines, or managing facilities/binders/lineslips.
- Clear communication & collaboration — able to translate technical data into accessible insurance language, and work effectively with offshore/centralised data teams.
How we support our colleagues
In addition to our comprehensive benefits package, we encourage an inclusive workforce. Plus, our agile environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two “Global Wellbeing Days” each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions for our colleagues as well. Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued.
Aon values an innovative and inclusive workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace. Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, colour, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status. We are committed to providing equal employment opportunities and fostering an inclusive workplace. If you require accommodations during the application or interview process, please let us know. You can request accommodations by emailing ReasonableAccommodations@Aon.com or your recruiter. We will work with you to meet your needs and ensure a fair and equitable experience.
M&A Insurance Data Analyst employer: Aon
Contact Detail:
Aon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land M&A Insurance Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the M&A insurance field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by brushing up on your data skills and insurance knowledge. Be ready to discuss how you can manage, cleanse, and validate data effectively—show them you’re the right fit!
✨Tip Number 3
Don’t forget to showcase your analytical prowess! Bring examples of dashboards or reports you've created that tell a compelling story with data. This will highlight your ability to provide insights that matter.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at Aon.
We think you need these skills to ace M&A Insurance Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the M&A Insurance Data Analyst role. Highlight your data skills, insurance knowledge, and any relevant experience that aligns with the job description. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about this role and how your background makes you a perfect fit. Be sure to mention specific skills like Excel or Power BI that are crucial for the position.
Showcase Your Data Skills: Since this role revolves around data, don’t shy away from showcasing your analytical prowess. Include examples of how you've managed, cleansed, or validated data in past roles. We love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you get all the updates. Plus, it’s super easy to do!
How to prepare for a job interview at Aon
✨Know Your Data Tools
Make sure you're well-versed in Excel, Power BI, and SQL. Brush up on complex formulas, pivots, and how to create insightful dashboards. Being able to demonstrate your proficiency with these tools will show that you can handle the data-heavy aspects of the role.
✨Understand M&A Insurance
Familiarise yourself with Warranty & Indemnity (W&I) and Representations & Warranties (R&W) insurance. Knowing the ins and outs of these concepts will help you speak confidently about how your data skills can support senior colleagues and enhance decision-making.
✨Prepare Insightful Questions
Think of questions that show your interest in the role and the company. Ask about how they currently manage data quality or what challenges they face in reporting. This not only demonstrates your analytical mindset but also your eagerness to contribute meaningfully.
✨Practice Clear Communication
Since the role involves translating technical data into accessible language, practice explaining complex data concepts in simple terms. You might even want to prepare a few examples of how you've done this in past roles to showcase your communication skills.