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For Companies At a Glance
- Tasks: Analyse data to generate insights and support business development strategies.
- Company: Join Price Forbes, part of The Ardonagh Group, in a vibrant and inclusive environment.
- Benefits: Enjoy flexible working, competitive salary, and fantastic discounts on big-name brands.
- Why this job: Make an impact by turning data into actionable insights that drive business success.
- Qualifications: 3+ years in insurance, strong Excel skills, and a passion for data analytics.
- Other info: Diverse workplace with opportunities for growth and continuous improvement.
The predicted salary is between 36000 - 60000 £ per year.
Location: London/Hybrid (Typically 2/3 days in the office)
Type: Full time – Permanent
About the role
At Price Forbes, we provide much more than just a workplace. We are dedicated to fostering skill development and knowledge within a team that is passionate about their work, values their Employees, and truly celebrates diversity. Working at Price Forbes means you'll be part of The Ardonagh Group. We are proud of our innovative environment offering many opportunities for growth across the wider group. Employees regularly move between our united teams, and we encourage you to make your role your own. Our offices are lively and exciting places to be, but we understand that life needs flexibility, and offer a genuinely flexible approach to working.
What we can offer
- Inclusive culture with apprenticeships, study support, participation in our annual Spotlight Awards, Community Trust, Sports Teams, office socials, events and more.
- Access to wellbeing programs and fantastic discounts across many big-name businesses including supermarkets, gym memberships, restaurants, and healthcare cash plans.
- Employer pension contribution of 10% (providing you, the Employee provides 5%).
- Good work life balance - flexibility to suit you.
- Competitive salary.
- Life Assurance at X4 of your base salary.
- Group Income Protection.
- Generous Annual Leave entitlement.
- Private Medical Insurance.
- Group annual bonus scheme.
Responsibilities
- Support and develop Intelligence tools, processes, and materials.
- Perform analysis of internal and external data to generate insights into the performance of Binding Authority contracts.
- Deliver and present data-driven insights to senior management and stakeholders on a regular basis.
- Contribute to global Business Development strategy and client engagement.
- Role sits within the Risk Solutions team supporting Account Executives and Account Managers.
Skills, Knowledge & Experience
- 3 years+ in Insurance, either within broking or underwriting roles, knowledge of Binding Authorities essential, including end to end process and good understanding of bdx.
- Advanced MS Excel (including Power Query), MS PowerPoint, MS Word skills.
- Strong BI / visualisation tools: Power BI and Excel.
- SQL and relational database knowledge.
- Python programming skills an advantage.
- Excellent communication and interpersonal skills.
- Ability to work with minimal supervision and under strict timeframes.
- Comfortable engaging with peers, managers, and senior stakeholders.
- Interest in AI and latest reporting technologies / capabilities to streamline and enhance processes.
- Open to feedback and committed to continuous improvement.
Hybrid Role Overview
This is a hybrid role blending data analytics, account management, business intelligence, and client engagement. It's not just about crunching numbers — it's about turning data into insights that directly influence underwriting strategy, client relationships, and leads to business development.
We welcome diverse applicants
We are dedicated to creating a diverse, inclusive, and authentic workplace where everyone can thrive. If you're excited about this role, but your experience doesn't perfectly match what we are looking for, please apply anyway. You might just be the right fit for the job, or other opportunities we may have within the wider Group.
Interview Process
- Submit your application with your CV, emphasising your skills and experience related to the job.
- The Talent Acquisition team will then arrange a call where they can tell you more about the role and the team.
- If successful, you will generally be invited to engage in a 1-hour interview with the Hiring Manager and selected team members, via Teams or in person.
- Depending on the role, you may be invited to attend a second stage interview with further members of the team.
Recruitment support
We truly value the diversity of our teams and as a Group, we are committed to supporting and welcoming individuals from all backgrounds, as we appreciate every perspective is a significant part of our success. Should you require any reasonable adjustment throughout the recruitment process, please do not hesitate to let a member of the Talent team know.
Data Analyst in London employer: Ardonagh Specialty
Contact Detail:
Ardonagh Specialty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in London
✨Tip Number 1
Get to know the company culture! Before your interview, check out Price Forbes' social media and website. Understanding their values and what they celebrate can help you connect better during your chat.
✨Tip Number 2
Practice your data storytelling! Since this role is all about turning numbers into insights, think of examples where you've done this before. Be ready to share how your analysis made a difference in past projects.
✨Tip Number 3
Don’t shy away from asking questions! When you get the chance, ask about the team dynamics or the tools they use. It shows you're genuinely interested and helps you gauge if it’s the right fit for you.
✨Tip Number 4
Apply through our website! We love seeing applications come directly from candidates who are excited about joining us. Plus, it gives you a better chance to stand out in the crowd!
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights the skills and experiences that are most relevant to the Data Analyst role. We want to see how your background aligns with our needs, so don’t be shy about showcasing your expertise in data analysis and insurance.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re excited about this role and how you can contribute to our team. Be genuine and let your personality come through – we love to see enthusiasm!
Showcase Your Technical Skills: Since this role involves advanced Excel, Power BI, and possibly Python, make sure to mention any relevant projects or experiences. We’re keen to see how you’ve used these tools to drive insights and support decision-making.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Ardonagh Specialty
✨Know Your Data Tools
Make sure you brush up on your skills with MS Excel, Power BI, and SQL. Be ready to discuss how you've used these tools in past roles, especially in relation to data analysis and visualisation. This will show that you're not just familiar with the tools, but that you can leverage them effectively.
✨Understand the Business
Familiarise yourself with Price Forbes and The Ardonagh Group. Research their approach to risk solutions and client engagement. Being able to speak knowledgeably about their business model and how your role as a Data Analyst fits into it will impress the interviewers.
✨Prepare Insightful Questions
Think of questions that demonstrate your interest in the role and the company culture. Ask about the team dynamics, ongoing projects, or how they measure success in the Data Analyst position. This shows that you're engaged and serious about contributing to their goals.
✨Showcase Your Communication Skills
Since the role involves presenting data-driven insights to senior management, practice explaining complex data in simple terms. Use examples from your previous experience where you successfully communicated findings to non-technical stakeholders. This will highlight your ability to bridge the gap between data and decision-making.
