Senior Consultant – Reinsurance Business Data Analyst

Synpulse; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

25 days annual leave plus bank holidays

Private medical insurance

Life insurance

Employee Assistance Programme

Access to Cycle and Tech schemes

Job summary

Synpulse is seeking a Senior Consultant specializing in Reinsurance Business Data Analysis to assist clients in utilizing their data for informed decision-making. The role requires significant collaboration with stakeholders to translate business needs into analytical requirements.

Ideal candidates will exhibit a strong grasp of reinsurance concepts, advanced SQL skills, and effective communication abilities, driving results in a hybrid work environment.

Additional benefits include competitive salary, a unique onboarding program, and comprehensive learning opportunities.

Qualifications

• Proven experience in a London Market, UK Insurance, or Reinsurance.
• Strong understanding of reinsurance concepts and processes.
• Advanced communication and facilitation skills.

Responsibilities

• Act as a business-facing data analyst for client stakeholders.
• Analyse data structures and identify improvement opportunities.
• Collaborate with technical teams to ensure requirements are met.

Skills

Stakeholder management

Advanced SQL skills

Problem-solving

Data analysis

Communication skills

Reinsurance domain knowledge

Education

Bachelor’s degree

Advanced degree (MBA, MSc, MA)

Job description

Overview

Senior Consultant – Reinsurance Business Data Analyst. Focus on helping clients understand, structure, and use their data to support data-driven decision making. Combines reinsurance domain knowledge with data analysis and business analysis skills. Requires stakeholder engagement, problem solving, and bridging business needs with data and technology teams in a consulting environment.

Key Responsibilities

• Act as a business-facing data analyst, working with client stakeholders to understand business questions, data needs, and decision-making requirements, 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 such as data products, curated datasets, analytical views by contributing domain expertise and business logic.
• Collaborate with data engineers, architects, and technology teams to ensure business requirements are accurately reflected in implemented solutions.
• Perform data analysis and validation using SQL or 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.

Job Requirements

• Proven experience in a London Market, UK Insurance, Reinsurance, Insurtech, or consulting firm with exposure to insurance or 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, confident in engaging 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 to effectively communicate with stakeholders at various levels across organisations.
• Understanding of key data and AI platforms and solutions used in the reinsurance sector and ability to identify opportunities for improvement.
• Bachelor’s degree, with an advanced degree (MBA, MSc, MA) and/or equivalent experience. Additional qualifications are a plus.
• Professional qualifications such as ACA, ACCA, CIMA, or insurance-related certifications are beneficial but not essential.

Additional Requirements

The successful candidate will need to be UK-based, with flexibility for client site engagement if required.

Job Benefits

Why us:

• A unique opportunity to shape the UK office through participation in internal initiatives including CSR, DE&I, recruitment, and marketing.
• Onboarding involves a two-week New Employee Training (NET) programme with interactive, level-specific modules on Synpulse processes, tools, communication, and role-specific skills.
• Continual and comprehensive learning and development through the Academy Program.
• Innovative team bonus scheme following the One Spirit approach.
• Hybrid working environment.

Alongside a competitive salary, you’ll receive:

• 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 Cycle and Tech schemes.

Accessibility

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, please let us know. We are here to make the interview experience as comfortable and accessible as possible.