Senior Data Business Analyst in London

Looking for a role that will have a significant impact in Change Delivery? We are looking for an individual to join the team as a Senior Business Analyst to help be part of the driving force behind change and delivery in our business. The work we do at Markel gives people the confidence to move forward and seize opportunities, and you’ll find your fit among our global community of optimists and problem-solvers. We’re always pushing each other to go further because we believe that when we realize our potential, we can help others reach theirs. Join us and play your part in something special!

The opportunity

The Change Delivery team builds and leads the end-to-end delivery of our strategic programmes and operational change priorities in collaboration with business teams and IT. The team currently comprises three main capabilities – business analysis, programme/project management, and portfolio management office.

We are seeking a Senior Data Business Analyst to join our Change Delivery team. This role sits at the intersection of business, data, and technology, with responsibility for analysing complex data requirements across multiple systems and supporting critical business reporting and analytical processes. A core focus of the role will be performing end-to-end data analysis across the insurance data lifecycle, tracing data from policy administration systems through operational data stores and reporting layers to financial ledgers and actuarial reserving outputs. This activity will be aligned to our top priority projects.

The successful candidate will work closely with senior stakeholders across Finance, Actuarial, Underwriting, and Operations, acting as a key partner in resolving complex data challenges and improving the organisation’s overall data capability. The role requires a strong investigative attitude to understand and challenge data lineage while ensuring consistency across operational, financial, and actuarial reporting.

What you’ll be doing

• End-to-End Data Analysis
  • Perform end-to-end analysis of data flows across multiple systems, including policy administration systems, operational data platforms, financial ledgers, and actuarial datasets.
  • Investigate how underwriting, premium, claims, and exposure data moves across systems to support financial reporting and actuarial reserving.
  • Trace and document data lineage across systems, ensuring clarity and consistency in how key reporting metrics are derived.
  • Analyse and reconcile data across the insurance value chain to ensure alignment between operational, financial, and actuarial outputs.
• Stakeholder Engagement
  • Act as a key data partner to finance, actuarial, and operational teams, supporting the validation and interpretation of data used in financial reporting and actuarial analysis.
  • Work with cross-functional teams to ensure data consistency between operational systems and financial ledgers.
  • Collaborate with actuarial teams to ensure data used for reserving, portfolio analysis, and modelling is robust and well understood.
  • Engage with senior stakeholders across underwriting, finance, actuarial, and technology teams to understand business questions and translate them into data-led, analytical outputs.
• Data & Reporting Solutions
  • Capture and document business requirements for data analysis and reporting solutions.
  • Work with data engineering and technology teams to improve data pipelines, data models, and reporting infrastructure.
  • Support the development and improvement of analytical dashboards and reporting tools, including Power BI where applicable.
• Data Governance & Best Practice
  • Contribute to the development of data definitions, data lineage documentation, and governance frameworks.
  • Promote best practices in data reconciliation, analytical methodology, and data transparency.

Our must-haves

• Experience in a data-focused analytical or business analysis role within specialty insurance.
• Good experience performing end-to-end data analysis across multiple systems.
• Advanced SQL skills, with experience interrogating large and sophisticated datasets.
• Experience reconciling data across operational systems, reporting layers, and financial outputs.
• Demonstrate ability to investigate complex data discrepancies and reconciliation differences.
• Experience translating business questions into analytical outputs and data insights.
• Solid understanding of insurance processes, product areas, and regulations.
• Experience working closely with Finance and/or Actuarial teams.
• Excellent stakeholder management skills with the capability to develop a partnership approach.
• Outstanding team collaboration – build positive relationships with existing team.
• Ability to work independently and handle your time as well as other resources within the project.
• Capacity to navigate change, handle uncertainty, and remain focused in a dynamic landscape.

Desirable Experience

• Familiarity with policy administration systems, underwriting systems, or claims platforms.
• Experience working with financial ledger data and actuarial datasets.
• Experience with Power BI or other data visualisation tools.
• Familiarity with data warehouse environments or modern cloud data platforms.

What’s in it for you

• A great starting salary plus annual bonus & strong benefits package.
• 25 days paid holiday plus Bank Holidays, with the opportunity to buy/sell extra leave.
• Fantastic company pension scheme, private medical and dental cover, life assurance, travel insurance cover, income protection, season ticket loan as well as other great benefits on offer.
• Countless opportunities to learn new skills and develop in your career and we can provide the support needed to do just that.

Who we are

Markel Group (NYSE – MKL) a Fortune 500 company with over 60 offices in 20+ countries, is a holding company for insurance, reinsurance, specialist advisory, and investment operations around the world.

Equal Opportunity & Accommodations

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided with all reasonable accommodations to be able to participate in the job application or interview process and to perform essential job functions if successful.