At a Glance
- Tasks: Analyse complex data requirements and support critical business reporting processes.
- Company: Join Markel Group, a Fortune 500 company with a diverse and inclusive culture.
- Benefits: Great salary, annual bonus, 25 days holiday, and strong benefits package.
- Other info: Opportunities for career development and flexible working patterns available.
- Why this job: Be a key player in driving change and improving data capabilities across the organisation.
- Qualifications: Experience in data analysis, advanced SQL skills, and strong stakeholder management.
The predicted salary is between 60000 - 75000 £ per year.
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. 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.
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.
We’re all about people | We win together | We strive for better | We enjoy the everyday | We think further
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
- There are countless opportunities to learn new skills and develop in your career and we can provide the support needed to do just that!
Choose ‘Apply Now’ to fill out our short application, so that we can find out more about you.
Markel celebrates the value of a diverse workforce that brings experience and expertise from a wide variety of backgrounds and life circumstances. Whatever your background, if you feel you meet the requirements of this role then we want to hear from you. We are also happy to consider candidates who are looking for flexible working patterns.
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. Please contact us via email at rec@markel.com or call us at 0161 507 5827 to request any accommodations that may be needed. This includes any alternative formats of any documents or information on how to apply offline.
Senior Data Business Analyst employer: Markel Corporation
Contact Detail:
Markel Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Business Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Markel or similar companies. A friendly chat can lead to insider info about the role and even a referral!
✨Tip Number 2
Prepare for the interview by diving deep into data analysis scenarios. Brush up on your SQL skills and be ready to discuss how you've tackled complex data challenges in the past. Show them you’re the data guru they need!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your stakeholder management experience too. Be ready to share examples of how you’ve collaborated with finance and actuarial teams to solve data discrepancies.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of our team at Markel.
We think you need these skills to ace Senior Data Business Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Business Analyst. Highlight your experience with data analysis, SQL skills, and any relevant insurance knowledge. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about this role and how you can contribute to our Change Delivery team. Be specific about your achievements and how they relate to the job description.
Showcase Your Stakeholder Engagement Skills: Since this role involves working closely with various teams, make sure to highlight your stakeholder management experience. Share examples of how you've successfully collaborated with finance, actuarial, or operational teams in the past.
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Markel Corporation
✨Know Your Data Inside Out
As a Senior Data Business Analyst, you’ll need to demonstrate your expertise in data analysis. Brush up on your SQL skills and be ready to discuss how you've performed end-to-end data analysis in previous roles. Prepare examples of how you've traced data lineage and reconciled discrepancies across systems.
✨Engage with Stakeholders
This role requires excellent stakeholder management skills. Before the interview, think about how you’ve collaborated with finance, actuarial, and operational teams in the past. Be prepared to share specific instances where you translated business questions into actionable data insights.
✨Showcase Your Problem-Solving Skills
Expect to face questions that assess your investigative attitude towards complex data challenges. Prepare to discuss how you’ve approached data discrepancies and what methodologies you used to ensure data consistency across various reporting layers.
✨Familiarise Yourself with Tools
Since the role involves working with data visualisation tools like Power BI, make sure you’re comfortable discussing your experience with these platforms. If you’ve worked with data engineering or cloud data environments, highlight this knowledge during your interview.