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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: Experience as a Senior Business Analyst with strong data architecture understanding.
- Other info: Engage with senior leadership and drive change in a governance-led setting.
The predicted salary is between 72000 - 108000 £ per year.
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.
- 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.
- 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 in London 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 in London
✨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 architecture knowledge. Be ready to discuss how you’ve applied structured business analysis in past roles. Use real examples to showcase your experience with data governance and quality.
✨Tip Number 3
Showcase your skills through projects! If you’ve worked on any data-led initiatives, create a portfolio that highlights your contributions. This can really set you apart from other candidates when you’re chatting with potential employers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Plus, it’s a great way to ensure your application gets seen by the right people. Let’s get you that dream job!
We think you need these skills to ace Senior Data Business Analyst - Insurance in London
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 like SQL or Power BI that you’ve used.
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 stakeholders 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, as this is key for the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
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. Be ready to discuss how these concepts apply to the insurance sector, and think about examples from your past experience that demonstrate your expertise.
✨Speak Their Language
Prepare to translate complex data concepts into simple terms. The interviewers will want to see how well you can communicate with both technical and non-technical stakeholders, so practice explaining your previous projects in a way that anyone can understand.
✨Showcase Your Governance Knowledge
Since this role operates within a governance-heavy environment, be prepared to discuss your experience with structured delivery frameworks. Highlight any specific methodologies you've used and how they contributed to successful data-led initiatives.
✨Engage with Stakeholders
Think about how you've engaged with various stakeholders in the past. Be ready to share examples of how you’ve built relationships and ensured alignment between business needs and data solutions, as this will be crucial for the role.
