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- Tasks: Lead data initiatives and enhance data governance across the organisation.
- Company: Established specialty insurance organisation with a focus on data capability.
- Benefits: Competitive salary up to £95,000, bonus, and comprehensive benefits.
- Why this job: Shape data strategy and make impactful decisions in a dynamic environment.
- Qualifications: Proven experience in data-centric business analysis and strong understanding of data architecture.
- Other info: Engage with senior leadership and drive change in a governance-led setting.
The predicted salary is between 78000 - 112000 £ per year.
Salary: Up to £95,000 + Bonus + benefits
A well-established specialty insurance organisation is building out its permanent internal data capability to support growing demand across underwriting, operations, and finance. This is a senior-level role operating at the intersection of business analysis, data architecture, and enterprise change. The successful candidate will play a key role in shaping how data is structured, governed, and delivered across the organisation.
Responsibilities
- Lead the initiation, discovery, and delivery of data-led initiatives across multiple workstreams.
- Apply structured business analysis and change management frameworks within a mature, governance-led environment.
- Take ownership of smaller data projects and enhancements from discovery through to BAU.
- Contribute to the ongoing evolution of data business analysis standards, tooling, and ways of working.
- Capture and define requirements with a data architecture mindset, ensuring downstream solutions are scalable and fit for purpose.
- Work confidently with conceptual, logical, and physical data models, data warehousing and analytical data platforms, and differences between data dictionaries and data glossaries.
- Define requirements using data flows, lineage, source-to-target mappings, and reporting specifications.
- Act as a bridge between business stakeholders and Data Architecture / Engineering teams, ensuring clarity and alignment.
Data Governance & Quality
- Embed data governance principles into delivery, including data ownership, controls, and standards.
- Support data quality assessments, issue identification, and remediation definition.
- Ensure consistent data definitions and usage across domains.
- Align delivery with enterprise data strategy and regulatory expectations.
Stakeholder Engagement
- Engage with stakeholders at all levels, including senior leadership.
- Translate complex data concepts into clear, pragmatic recommendations.
- Support adoption, change, and transition of solutions into business as usual.
- Act as a trusted advisor on data-related decisions.
Required Experience
- Proven experience as a Senior Business Analyst on data-centric initiatives.
- Strong conceptual understanding of data architecture and data warehousing (hands-off is fine; understanding is critical).
- Experience working within structured, governance-heavy delivery frameworks.
- Ability to explain data concepts clearly to technical and non-technical audiences.
- Insurance experience (London Market desirable but not essential; wider insurance backgrounds considered).
- Exposure to SQL, Power BI, SSRS, or similar data and BI technologies.
- Experience partnering closely with Data Architecture teams.
- Familiarity with tools such as Visio, Azure DevOps, JIRA, Confluence, Miro.
Senior Data Business Analyst - Insurance employer: Arthur Recruitment
Contact Detail:
Arthur Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Business Analyst - Insurance
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and data 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 interviews by brushing up on your data concepts and business analysis frameworks. Practice explaining complex ideas in simple terms, as you’ll need to communicate effectively with both technical and non-technical folks.
✨Tip Number 3
Showcase your experience with data governance and quality. Be ready to discuss how you've embedded these principles in past projects. This will demonstrate your fit for the role and your understanding of the importance of data integrity.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Senior Data Business Analyst - Insurance
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 architecture and governance, and don’t forget to mention any relevant tools you’ve used like SQL or Power BI.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Talk about your experience in data-led initiatives and how you can bridge the gap between business and technical teams.
Showcase Your Stakeholder Engagement Skills: In your application, emphasise your ability to engage with stakeholders at all levels. Share examples of how you've translated complex data concepts into clear recommendations for non-technical audiences.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Arthur Recruitment
✨Know Your Data Inside Out
Make sure you brush up on your understanding of data architecture and data warehousing concepts. Be ready to discuss how you've applied these in previous roles, especially in a governance-heavy environment. This will show that you can bridge the gap between business needs and technical solutions.
✨Prepare for Stakeholder Engagement
Think about how you would engage with various stakeholders, including senior leadership. Prepare examples of how you've translated complex data concepts into clear recommendations in the past. This will demonstrate your ability to communicate effectively and act as a trusted advisor.
✨Showcase Your Project Ownership
Be ready to talk about specific data projects you've led from discovery to business as usual. Highlight your experience with capturing requirements and ensuring that solutions are scalable and fit for purpose. This will illustrate your capability to take ownership and drive initiatives forward.
✨Familiarise Yourself with Tools
Get comfortable with tools mentioned in the job description, like SQL, Power BI, and Azure DevOps. If you have experience with Visio, JIRA, or Confluence, be prepared to discuss how you've used them in your work. This will show that you're not just theoretically knowledgeable but practically equipped for the role.
