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- Tasks: Lead analytics initiatives and mentor junior analysts in a dynamic insurance environment.
- Company: Established London Market insurance organisation with a focus on data-driven insights.
- Benefits: Competitive salary, bonus potential, hybrid work model, and comprehensive benefits.
- Other info: Opportunity for career growth in a collaborative and innovative team.
- Why this job: Make a significant impact by embedding analytics into key business decisions.
- Qualifications: 5-10 years in data analytics, advanced SQL and Power BI skills required.
The predicted salary is between 70000 - 85000 £ per year.
Location: City of London (Hybrid – 50% office based)
Salary: £70,000–£85,000 + 20–40% bonus + benefits
Gravitas has partnered with a well-established London Market insurance organisation to recruit a Senior Data Analyst into its growing Data Analytics team. This is a newly created role and a key hire as the business evolves its analytics capability from platform delivery to commercially embedded insight. London Market experience is essential.
The Role
Reporting to the Data Analytics Manager, the Senior Data Analyst will be a hands-on individual contributor and the most senior technical analytics hire in the team (currently three Data Analysts). The role sits as an intermediary layer between the Data Analytics Manager and more junior analysts, providing technical leadership, mentoring and driving best practice—without direct line management responsibility (initially). This position will focus on embedding analytics into underwriting, claims and exposure management decision-making, moving the function away from isolated reporting and toward value-added, business-partnered insight.
Key Responsibilities
- Business Partnering & Value-Added Analytics
- Act as the senior analytics business partner for one or more underwriting classes, identifying opportunities to improve pricing, portfolio steering, renewal decisions and exposure management.
- Translate open-ended commercial questions into clearly scoped analyses and Power BI dashboards.
- Work closely with underwriting, claims and wider business teams to identify automation and efficiency opportunities.
- Identify practical ways to enhance analytics workflows using AI tooling (e.g. LLMs, agentic tools for exploration, code generation, documentation and insight generation).
- Support the Data Analytics Manager in shaping and delivering external analytical propositions from discovery through to production.
- Apply and embed analytics development standards including peer review, documentation, testing and production sign-off.
- Lead by example on Power BI engineering discipline, using PBIP / TMDL formats, Git-based version control, branching strategies and pull requests.
- Contribute to Power BI workspace governance, including Dev/Test/Prod separation, deployment pipelines, dataset endorsement and access control.
- Coach and mentor Data Analysts on SQL, DAX, data modelling, visual design and analytics engineering best practice.
- Partner closely with Data Engineering to influence curated data models and semantic layers.
- Deliver complex analytics initiatives end-to-end, from scoping and estimation through to handover and review.
- Operate within an Agile framework, contributing to backlog prioritisation, epics and user stories.
Skills & Experience
Essential
- 5–10 years’ experience in data analytics or BI, including at least 2–3 years within a Lloyd’s syndicate, managing agent, London Market broker or specialty (re)insurer.
- Advanced SQL with experience across the Azure data stack (Data Factory, Synapse / Fabric, SQL-based semantic layers).
- Advanced Power BI skills: star-schema modelling, advanced DAX, Power Query / M, performance tuning, RLS and deployment pipelines.
- Strong understanding of Power BI engineering and governance, including PBIP / TMDL and Git-based workflows.
- Proven experience conducting peer review and QA of analytics assets.
- Excellent stakeholder communication skills, including presenting to underwriting teams.
- Demonstrated ability to turn ambiguous business problems into delivered analytical outcomes.
Desirable
- Python for data analysis (e.g. pandas, notebooks) and ability to collaborate with Actuarial and Data Science teams.
- Practical experience using AI / LLM tooling within analytics workflows (e.g. Copilot for Power BI / Fabric, agentic assistants, code-generation tools).
- Experience with Microsoft Fabric, dbt, Azure DevOps / GitHub Actions and data-quality tooling.
- Actuarial or actuarial-adjacent background.
Senior Data Analyst in City of London employer: Gravitas Recruitment Group (Global) Ltd
Contact Detail:
Gravitas Recruitment Group (Global) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the London 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 openings or can put in a good word for you.
✨Tip Number 2
Get your hands dirty with Power BI! If you haven't already, brush up on your skills and create a few sample dashboards. Showcasing your ability to turn complex data into clear insights will definitely catch the eye of hiring managers.
✨Tip Number 3
Prepare for those interviews by practising common questions related to analytics and business partnering. Think about how you've used SQL and DAX in past roles and be ready to discuss specific examples that highlight your expertise.
✨Tip Number 4
Don't forget to apply through our website! We make it super easy for you to submit your application and get noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Analyst in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience in the London Market and any relevant projects that showcase your skills in SQL, Power BI, and analytics. 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 explain why you're passionate about data analytics and how your background aligns with our needs. Don’t forget to mention your experience with business partnering and embedding analytics into decision-making.
Showcase Your Technical Skills: We’re looking for someone with advanced SQL and Power BI skills, so make sure to highlight these in your application. Include specific examples of how you've used these tools to drive insights and improve processes in your previous roles.
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 don’t miss out on any important updates. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Gravitas Recruitment Group (Global) Ltd
✨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 used these tools, particularly in the London Market. This will show that you not only understand the technical side but also how it applies to real-world scenarios.
✨Showcase Your Business Acumen
Prepare to talk about how you've partnered with business teams in the past. Think of examples where your insights led to improved decision-making in underwriting or claims. This role is all about embedding analytics into business processes, so demonstrating your understanding of this will be key.
✨Be Ready for Technical Questions
Expect some deep dives into your technical knowledge, especially around Power BI governance and analytics workflows. Brush up on best practices for documentation, peer reviews, and version control. Being able to articulate your experience with Git-based workflows will set you apart.
✨Demonstrate Leadership Potential
Even though this role doesn't have direct line management responsibilities initially, they’ll want to see your ability to mentor and lead. Prepare examples of how you've coached junior analysts or contributed to team standards. Highlighting your leadership style will show you're ready for this senior position.