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For Companies At a Glance
- Tasks: Partner with underwriting teams to deliver actionable insights and advanced analytics solutions.
- Company: Respected Lloyd’s market insurer undergoing a data evolution.
- Benefits: £85,000 salary, bonus, strong benefits, and hybrid working model.
- Other info: Mentor junior analysts and work in an Agile environment.
- Why this job: Shape the future of analytics and influence AI adoption in a high-impact role.
- Qualifications: 5+ years in Data Analytics, strong London Market insurance experience, advanced SQL and Power BI skills.
The predicted salary is between 85000 - 85000 £ per year.
London, Hybrid £85,000 + Bonus + Comprehensive Benefits
We’re partnering with a highly respected Lloyd’s market insurer undergoing a major evolution in how data supports commercial decision-making. This is a genuine opportunity to move beyond dashboard delivery and become a trusted analytics partner to underwriting teams, helping shape pricing decisions, portfolio strategy, claims insight, and exposure management.
This role sits at the centre of a growing analytics function as it shifts from platform delivery into high-value, insight-led analytics.
What You’ll Be Doing
- Partner directly with underwriting teams as the senior analytics SME
- Translate commercial questions into analytical solutions and actionable insight
- Build advanced dashboards, analytics products, and decision-support tools
- Support pricing, portfolio optimisation, renewal strategy, and exposure analysis
- Identify automation opportunities that improve operational efficiency
- Introduce practical AI tooling into analytics workflows (LLMs, Copilot, agentic tools, workflow acceleration)
- Deliver complex analytics projects end-to-end, from scoping through deployment
- Help establish and maintain Power BI governance and engineering standards
- Work with Data Engineering to influence semantic models and curated data layers
- Mentor junior analysts and contribute to peer reviews / knowledge sharing
- Operate within an Agile delivery environment
What We’re Looking For
Essential
- 5+ years in Data Analytics / BI roles
- Strong London Market insurance experience (Lloyd’s syndicate, MGA, specialty insurer, or broker environment)
- Advanced SQL, query optimisation, and experience working across Azure data environments / semantic layers
- Advanced Power BI expertise: data modelling, DAX, Power Query / M, performance optimisation, RLS, deployment pipelines
- Power BI engineering best practice: PBIP / TMDL, Git version control, pull requests, peer review, structured release processes
- Proven stakeholder management, with the ability to translate ambiguous business challenges into actionable analytics
- Strong communication skills, comfortable engaging both technical and non-technical stakeholders
Desirable
- Python (pandas / notebooks), Microsoft Fabric, dbt
- Azure DevOps / GitHub Actions
- Experience applying AI / LLM tooling within analytics workflows
- Exposure to actuarial, pricing, or underwriting analytics environments
Why Join?
- £85,000 base salary + bonus + strong benefits package
- Hybrid working model
- Opportunity to shape a growing analytics capability
- Direct exposure to underwriting and commercial decision-making
- Genuine opportunity to influence AI adoption within analytics
- High-impact, visible role within a respected London Market insurer
Senior Data Analyst - Speciality Insurance in City of London employer: Arthur Recruitment
Contact Detail:
Arthur Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Speciality Insurance in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and data analytics space. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work in data analytics, especially projects related to pricing strategies or portfolio optimisation. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI tooling and analytics. Be ready to discuss how you can translate complex data into actionable insights for underwriting teams.
✨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 are proactive about their job search!
We think you need these skills to ace Senior Data Analyst - Speciality Insurance in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Analyst. Highlight your experience in data analytics, especially within the London Market insurance sector. We want to see how your skills align with the job description!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of how you've partnered with underwriting teams or delivered complex analytics projects. We love a good story!
Showcase Your Technical Skills: Don’t forget to highlight your technical expertise, especially in SQL and Power BI. Mention any experience with Azure environments and automation tools. We’re looking for someone who can hit the ground running, so make those skills pop!
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 don’t miss out on any important updates. Let’s get your journey started!
How to prepare for a job interview at Arthur Recruitment
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data analytics, especially within the insurance sector. Brush up on your SQL skills and be ready to discuss how you've used advanced Power BI features to drive insights in previous roles.
✨Showcase Your Stakeholder Management Skills
Prepare examples that highlight your ability to translate complex business challenges into actionable analytics. Think about times when you’ve successfully communicated with both technical and non-technical stakeholders, as this will be crucial for the role.
✨Demonstrate Your Analytical Mindset
Be ready to discuss how you approach problem-solving in analytics. Prepare to share specific instances where you’ve delivered complex projects from scoping to deployment, and how you’ve identified automation opportunities to improve efficiency.
✨Familiarise Yourself with AI Tools
Since the role involves introducing practical AI tooling into analytics workflows, it’s a good idea to brush up on your knowledge of LLMs and other AI tools. Be prepared to discuss how you’ve applied these technologies in your previous work.