Synpulse
Senior Consultant – Reinsurance Business Data Analyst
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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.
Overview
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.
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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.
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Additional Requirements
The successful candidate will need to be UK-based, with flexibility for client site engagement if required.
Why us:
- A unique opportunity to shape the UK office through participating in internal initiatives (CSR, DE&I, recruitment, marketing).
- As part of our onboarding, take part in our two-week New Employee Training (NET), an engaging programme with interactive, level-specific modules on Synpulse, processes, tools, communication, and role-specific skills, designed to integrate you into the team and set you up for success.
- Continual and comprehensive learning and development through our Academy Program.
- Innovative team bonus scheme following our "One Spirit" approach.
- Hybrid working environment.
Alongside a competitive salary, you'll get lots of other great benefits too:
- 25 days annual leave plus bank holidays in England
- Pension: 6% employer contribution and 3% employee contribution
- Paid time off for volunteering (2 days per year)
- Private medical insurance with dental care through Vitality
- Life insurance
- Enhanced family friendly policies
- Employee Assistance Programme with 24/7 mental health support
- Interest free season ticket loan.
- Access to the Cycle scheme and Tech scheme
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For more information, please visit us at www.synpulse.com
At Synpulse, we are committed to fostering an inclusive and supportive environment for all candidates. Throughout the interview process, we strive to accommodate diverse needs and preferences to ensure that every candidate can fully showcase their abilities. If you require any accommodations or adjustments to the interview process to support your participation, please don't hesitate to let us know. We are here to make the interview experience as comfortable and accessible as possible for you.
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