At a Glance
- Tasks: Help clients harness their data for smarter decision-making in the reinsurance sector.
- Company: Join Synpulse, a global consultancy transforming financial services with innovation.
- Benefits: Competitive salary, professional development, and a collaborative work culture.
- Other info: Dynamic role with opportunities for growth and client engagement.
- Why this job: Make a real impact by bridging business needs with data-driven solutions.
- Qualifications: Experience in reinsurance and strong data analysis skills required.
The predicted salary is between 60000 - 80000 £ per year.
Where your journey begins and your potential shines. At Synpulse, we don’t just consult – we transform. As a leading global management and technology consultancy with Swiss roots, we empower financial institutions to navigate change and seize new opportunities. Since 1996, we've been shaping the future of financial services by delivering cutting-edge expertise in strategy, operations, and technology to banks and insurers worldwide.
What sets us apart is our people. At Synpulse, we cultivate a collaborative, high-impact culture where initiative and creativity are valued. With 21 offices across Europe, the Americas, and Asia-Pacific, we bring together diverse perspectives and talents. We believe innovation thrives where everyone feels they belong and can contribute. Our core values – Embrace, Drive, Achieve – shape how we work and evolve. We don’t just offer jobs – we offer the chance to develop, make an impact, and be part of a team that’s redefining the future of financial services.
We are seeking a Senior Consultant - Reinsurance Business Data Analyst for a role focused on helping clients better understand, structure, and use their data to support data driven decision-making. The role combines strong reinsurance domain knowledge with data analysis and business analysis skills. You will work closely with client stakeholders across multiple domains, including but not limited to finance, underwriting, claims, etc. to analyse data structures, clarify business definitions, identify gaps, and translate complex domain concepts into clear, scalable data-driven solutions such as data products and analytical datasets. This is not a pure technical or engineering role. It requires confident stakeholder engagement, structured problem-solving, and the ability to bridge business needs with data and technology teams in a consulting environment.
Key Responsibilities
- You will act as a business-facing data analyst, working with client stakeholders to understand business questions, data needs, and decision-making requirements, and translating these into clear data and analytical requirements.
- Analyse existing data structures, definitions, and flows to identify inconsistencies, gaps, and improvement opportunities across data domains.
- Support the design and evolution of data-driven solutions (e.g. data products, curated datasets, analytical views) by contributing domain expertise, business logic, and clear definitions.
- Collaborate with data engineers, architects, and technology teams to ensure business requirements are accurately reflected in implemented data solutions.
- Perform data analysis and validation using SQL/Python to investigate issues, test assumptions, and support solution design.
- Support impact analysis and change discussions when data structures, definitions, or logic evolve, ensuring business implications are clearly understood.
- Build trusted relationships with client stakeholders through clear communication, structured workshops, and pragmatic problem-solving.
- Demonstrate a strong understanding of reinsurance data across core areas such as policies, risks, premiums, claims, exposures, transactions, and reinsurance arrangements.
Requirements
- Proven experience in a London Market / UK Insurance / Reinsurance / Insurtech or consultancy firm with exposure to Insurance / Reinsurance clients.
- Experience working with reinsurance data.
- Prior involvement in data, analytics, or data transformation initiatives within reinsurance organisations.
- Strong understanding of reinsurance concepts and processes, with the ability to apply this knowledge in data and analytical contexts.
- Proven experience working as a business data analyst, or similar role within reinsurance environments.
- Advanced SQL skills for data analysis, investigation, and validation.
- Ability to structure ambiguous problems and translate complex business topics into clear, actionable data requirements.
- Excellent stakeholder management and communication skills, with confidence to engage both business and technical audiences.
- Consulting mindset with a focus on delivering practical, high-quality outcomes in client environments.
- Advanced communication, presentation and facilitation skills help you in effective communication with stakeholders at various levels across organisations.
- Understanding of key data & AI platforms and solutions used in the (Re)insurance sector and ability to identify opportunities for improvements.
- Bachelor’s degree, with an advanced degree (MBA, MSc, MA) and/or equivalent experience. Additional qualifications being a plus.
- Professional qualifications (e.g. ACA, ACCA, CIMA, insurance-related certifications) are beneficial but not essential.
The successful candidate will need to be UK-based, with flexibility for client site engagement if required.
Senior Consultant – Reinsurance Business Data Analyst in London employer: Synpulse
At Synpulse, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through our emphasis on professional development and the opportunity to work alongside industry experts in a dynamic environment. With a global presence and a focus on transforming financial services, we offer our team members the chance to make a meaningful impact while enjoying a supportive atmosphere that values creativity and initiative.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Consultant – Reinsurance Business Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the reinsurance and consulting sectors. 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
Prepare for those interviews by practising common questions related to data analysis and stakeholder engagement. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you showcase your experience effectively!
✨Tip Number 3
Showcase your skills with a portfolio! If you’ve worked on relevant projects, compile them into a portfolio that highlights your data analysis and business insights. This can really set you apart from other candidates.
✨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 Consultant – Reinsurance Business Data Analyst in London
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let your enthusiasm for data and reinsurance shine through. We want to see how you can connect the dots between data analysis and business needs, so share examples that highlight your experience in this area.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Senior Consultant role. Highlight relevant experiences and skills that align with the job description, especially your stakeholder management and analytical abilities. We love seeing candidates who take the time to make their application stand out!
Be Clear and Concise:In your written application, clarity is key. Use straightforward language and structure your thoughts logically. We appreciate applicants who can communicate complex ideas simply, as this reflects the kind of clear communication we value at StudySmarter.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details 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 Synpulse
✨Know Your Reinsurance Stuff
Make sure you brush up on your reinsurance concepts and processes. Understand the key areas like policies, risks, premiums, and claims. This knowledge will help you confidently engage with stakeholders and demonstrate your expertise during the interview.
✨Showcase Your Data Skills
Be prepared to discuss your experience with SQL and data analysis. Bring examples of how you've used these skills in previous roles, especially in a reinsurance context. This will show that you can translate complex data into actionable insights, which is crucial for the role.
✨Engage with Stakeholders
Highlight your stakeholder management skills. Think of examples where you've successfully communicated with both business and technical audiences. This will illustrate your ability to bridge gaps between teams and ensure everyone is on the same page.
✨Prepare for Problem-Solving Scenarios
Expect to tackle some ambiguous problems during the interview. Practice structuring your thoughts and articulating how you would approach these challenges. This will demonstrate your structured problem-solving abilities and consulting mindset, which are key for this role.
