At a Glance
- Tasks: Lead data analytics projects, transforming complex questions into actionable insights and dashboards.
- Company: Join an award-winning Lloyd's Syndicate with a focus on innovation and analytics.
- Benefits: Competitive salary, professional development, and opportunities to work with AI tools.
- Other info: Collaborative environment with opportunities for career growth and hands-on experience with cutting-edge technology.
- Why this job: Make a real impact by enhancing pricing and portfolio strategies through advanced analytics.
- Qualifications: 5+ years in data analytics, with strong SQL and Power BI skills required.
The predicted salary is between 60000 - 80000 € per year.
We are recruiting for a Senior Data Analyst on behalf of an award‐winning Lloyd's Syndicate. The successful candidate must have experience working in a Lloyd's syndicate, managing agent, London Market broker or specialty (re)insurer. You will help the team through its shift from platform delivery toward value‐added analytics and commercial insight. They will support the Data Analytics Manager by applying and role‐modeling technical standards, contributing to complex analysis, and introducing new techniques including the practical application of AI tools within the analytics workflow.
Key Responsibilities
- Act as the senior analytics business partner to one or more underwriting classes, proactively identifying where analytics can improve pricing, portfolio steering, renewal decisions and exposure management.
- Translate open‐ended commercial questions into well‐scoped analyses and dashboard requirements, and collaborate with the wider business to identify opportunities for automation and operational efficiency gains.
- Identify and apply practical AI tooling within the analytics workflow, including LLMs, agentic tools and code‐generation assistants, with a pragmatic view on where they add genuine value.
- Embed the team's development lifecycle for BI and analytics assets, including robust source‐control practices for Power BI content (PBIP / TMDL format, Git‐backed repositories, feature branches, pull requests and meaningful commit history), and contribute to workspace governance across Dev / Test / Prod environments.
- Coach analysts and BI developers on SQL, DAX, data modelling, visual design and engineering hygiene.
- Work closely with Data Engineering on changes to the semantic and curated layer and data marts.
- Deliver complex analytics workstreams end‐to‐end, and work within an Agile framework to break down requirements into epics and user stories, contribute to backlog prioritisation and provide realistic estimates.
Key Requirements
Essential
- 5+ years' experience in a data analytics or BI role, with at least 2 to 3 years in a Lloyd's syndicate, managing agent, London Market broker or specialty (re)insurer.
- Advanced SQL, including query optimisation and working with the Azure data stack (Data Factory, Synapse / Fabric, SQL‐based semantic layers).
- Advanced Power BI: data modelling (star schemas), advanced DAX, Power Query / M, performance tuning, RLS and deployment via pipelines.
- A strong understanding of Power BI engineering discipline: PBIP / TMDL source format, Git‐based version control, pull‐request review and structured release processes, with demonstrable experience in a team setting.
- Proven ability to carry out peer review and QA of analytics work, spotting model errors, DAX issues, performance problems and UX weaknesses.
- Excellent written and verbal communication skills, including presenting to underwriting and senior stakeholders, with a track record of turning ambiguous business problems into delivered analytical outcomes.
Desirable
- Python for data analysis and an appreciation of wider data science techniques, sufficient to collaborate credibly with Data Scientists and Actuarial colleagues.
- Hands‐on experience applying AI and LLM tooling to analytics work (such as Copilot for Power BI / Fabric, MCP‐style integrations or agentic assistants).
- Experience with Microsoft Fabric, dbt, Azure DevOps / GitHub Actions and data‐quality tooling.
Senior Data Analyst in London employer: Claims Recruitment Services
Join an award-winning Lloyd's Syndicate as a Senior Data Analyst, where you will thrive in a dynamic work culture that prioritises innovation and collaboration. With a strong focus on employee growth, the company offers extensive training opportunities in advanced analytics and AI tools, ensuring you stay at the forefront of industry developments. Located in the heart of London, you will benefit from a vibrant professional environment that fosters creativity and meaningful contributions to the insurance sector.
Contact Detail:
Claims Recruitment Services Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the Lloyd's market and let them know you're on the hunt for a Senior Data Analyst role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best analytics projects, especially those involving AI tools and Power BI. This will give potential employers a taste of what you can bring to the table and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and being ready to discuss how you've applied advanced SQL and DAX in real-world scenarios. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive listings that you won't find elsewhere. Plus, it shows you're genuinely interested in joining our team and makes it easier for us to keep track of your application.
We think you need these skills to ace Senior Data Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience in Lloyd's syndicates and any relevant analytics projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Technical Skills:Don’t hold back on your technical prowess! Be specific about your SQL, Power BI, and any AI tools you've used. We love seeing candidates who can demonstrate their hands-on experience and how they’ve applied these skills in real-world scenarios.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can add value to our team. We appreciate a personal touch, so let your personality come through while keeping it professional.
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 keen on joining our team at StudySmarter!
How to prepare for a job interview at Claims Recruitment Services
✨Know Your Data Inside Out
Make sure you brush up on your data analytics skills, especially in SQL and Power BI. Be ready to discuss specific projects where you've applied these tools, particularly in a Lloyd's syndicate or similar environment. This will show that you not only understand the technical side but can also translate complex data into actionable insights.
✨Showcase Your AI Knowledge
Since the role involves applying AI tools within analytics workflows, be prepared to talk about any experience you have with AI and LLM tooling. Bring examples of how you've used these technologies to enhance your analysis or improve efficiency. This will demonstrate your forward-thinking approach and adaptability.
✨Communicate Clearly and Confidently
You’ll need to present your findings to underwriting and senior stakeholders, so practice articulating your thoughts clearly. Use examples from your past work to illustrate how you’ve turned ambiguous business problems into clear analytical outcomes. Good communication can set you apart from other candidates.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical scenarios related to pricing, portfolio steering, or exposure management. Think through how you would approach these problems using your analytical skills and the tools at your disposal. This will help you demonstrate your problem-solving abilities and strategic thinking.
