At a Glance
- Tasks: Oversee a modern cloud data platform and manage relationships with external partners.
- Company: Leading specialist commercial insurer with a focus on innovation.
- Benefits: Up to £90,000 salary, 15% bonus, and comprehensive benefits.
- Other info: Opportunity to influence enterprise transformation in a dynamic environment.
- Why this job: Combine technical expertise with commercial insight to drive impactful data solutions.
- Qualifications: Experience with cloud data platforms, SQL, and stakeholder management.
The predicted salary is between 90000 - 90000 £ per year.
A leading specialist commercial insurer is looking to hire a technically credible Data & Analytics Manager to support the continued evolution of its cloud data platform. Despite the title, this is not a traditional people management role and equally not a pure hands-on engineering position. This is a role for someone who can combine strong technical understanding with commercial awareness, stakeholder management, and the confidence to challenge external delivery partners.
What You’ll Be Doing
- Owning technical oversight of the organisation’s modern data platform
- Managing relationships with external MSPs, consultancies, and delivery partners
- Reviewing technical output and challenging poor design, engineering, or delivery decisions
- Ensuring third-party partners are delivering against agreed technical standards and business expectations
- Acting as the internal technical escalation point for data platform delivery
- Partnering with senior business stakeholders to translate requirements into scalable technical solutions
- Supporting architecture decisions across cloud data engineering and analytics
- Driving governance, documentation, testing standards, and production best practice
- Supporting broader enterprise transformation and analytics initiatives
- Acting as the internal voice of technical credibility across the data function.
What They’re Looking For
- Strong experience with modern cloud data platforms
- Deep GCP knowledge, particularly BigQuery
- Experience with Medallion / Lakehouse architecture
- Strong SQL and data engineering fundamentals
- Experience with Microsoft BI tooling
- Experience working with or overseeing MSPs / outsourced technical delivery teams
- Ability to challenge consultancies and hold vendors accountable
- Strong communication skills with both technical and non-technical stakeholders
- Comfortable operating in a visible, stakeholder-facing environment
- Someone commercially aware, pragmatic, and technically credible
Nice to Have
- Insurance or financial services background
Data & Analytics Manager - Insurance employer: Arthur Recruitment
As a leading specialist commercial insurer, we pride ourselves on fostering a dynamic work environment that encourages innovation and collaboration. Our Data & Analytics Manager role offers not only competitive compensation and a generous bonus structure but also the opportunity to engage with cutting-edge cloud technologies while influencing key business decisions. With a strong focus on employee development and a culture that values technical expertise and stakeholder engagement, we provide a unique platform for professionals looking to make a meaningful impact in the insurance sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Analytics Manager - Insurance
✨Tip Number 1
Network like a pro! Reach out to people in the insurance and data analytics space on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or a personal website showcasing your projects, especially those related to cloud data platforms and analytics. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and understanding the latest trends in data analytics. Be ready to discuss how you’ve tackled challenges in past roles and how you can bring value to their team.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data & Analytics Manager - Insurance
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with cloud data platforms and any relevant projects you've worked on, especially those involving GCP and BigQuery.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for the Data & Analytics Manager role. Share specific examples of how you've managed relationships with external partners and tackled technical challenges in previous roles.
Showcase Your Technical Skills:Don’t shy away from showcasing your technical expertise! Mention your SQL skills, experience with Microsoft BI tooling, and any familiarity with Medallion or Lakehouse architecture. We want to see your technical credibility shine through.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it makes it easier for us to keep track of your application!
How to prepare for a job interview at Arthur Recruitment
✨Know Your Data Platforms
Make sure you brush up on your knowledge of modern cloud data platforms, especially GCP and BigQuery. Be ready to discuss how you've used these technologies in past roles and how they can be applied to the company's needs.
✨Showcase Your Stakeholder Management Skills
Prepare examples that highlight your experience in managing relationships with external partners and stakeholders. Think about times when you had to challenge decisions or ensure delivery standards were met, as this will demonstrate your confidence and commercial awareness.
✨Communicate Clearly and Confidently
Practice explaining complex technical concepts in simple terms. You’ll need to communicate effectively with both technical and non-technical stakeholders, so being able to bridge that gap is crucial. Consider doing mock interviews to refine your communication style.
✨Be Ready to Discuss Governance and Best Practices
Familiarise yourself with governance, documentation, and testing standards relevant to data engineering. Be prepared to discuss how you’ve implemented best practices in previous roles and how you would approach these aspects in the new position.
