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- Tasks: Design and maintain data models for analytics and reporting in the insurance sector.
- Company: Join a leading organisation focused on innovative data solutions in the insurance industry.
- Benefits: Enjoy flexible working options and a collaborative team environment.
- Why this job: Be part of a critical role that shapes data strategy and drives operational efficiency.
- Qualifications: Deep knowledge of insurance data and experience in enterprise data modelling required.
- Other info: Opportunity to work with diverse stakeholders and influence business decisions.
The predicted salary is between 48000 - 72000 £ per year.
We are seeking a highly experienced Senior Data Modeller to design and maintain enterprise-wide conceptual, logical data, and physical models for our organisation. This role is critical to enabling consistent, scalable, and business-aligned data structures that support analytics, reporting, and operational efficiency. The ideal candidate will have a deep knowledge and understanding of insurance data domains, enterprise data modelling best practices, and experience working with diverse stakeholders across the business and IT.
Key Responsibilities:
- Develop and maintain the enterprise-wide conceptual data model to provide a high-level view of data domains, entities, and their relationships, and logical data models with detailed attributes, data relationships, and normalization rules, ensuring alignment with business rules and objectives.
- Work closely with business stakeholders to understand data requirements and translate them into structured data models that meet organisational needs.
- Ensure conceptual and logical data models are reusable, scalable, and adaptable to evolving business demands.
- Partner with business stakeholders, SMEs, and data architects to validate data models and incorporate feedback.
Data Modeller - Insurance employer: Chubb
Contact Detail:
Chubb Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeller - Insurance
✨Tip Number 1
Network with professionals in the insurance and data modelling sectors. Attend industry events, webinars, or local meetups to connect with potential colleagues and learn about the latest trends and challenges in the field.
✨Tip Number 2
Familiarise yourself with the specific data tools and technologies that are commonly used in the insurance industry. Being well-versed in these tools can give you an edge during interviews and discussions with stakeholders.
✨Tip Number 3
Prepare to discuss real-world examples of how you've successfully developed and maintained data models in previous roles. Highlight your experience in collaborating with diverse teams and how you’ve adapted models to meet changing business needs.
✨Tip Number 4
Stay updated on the latest best practices in enterprise data modelling. Consider following relevant blogs, podcasts, or online courses to enhance your knowledge and demonstrate your commitment to continuous learning in your application.
We think you need these skills to ace Data Modeller - Insurance
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data Modeller in the insurance sector. Familiarise yourself with key concepts like enterprise data modelling and the specific requirements mentioned in the job description.
Tailor Your CV: Highlight your experience in data modelling, especially within the insurance domain. Include specific projects or achievements that demonstrate your ability to design and maintain data models, as well as your collaboration with stakeholders.
Craft a Compelling Cover Letter: Use your cover letter to explain why you're the perfect fit for this role. Discuss your understanding of insurance data domains and how your skills align with the company's needs. Be sure to mention any relevant experience working with diverse stakeholders.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter. Look for any spelling or grammatical errors, and ensure that your documents are clear and professional. A polished application reflects your attention to detail, which is crucial for a Data Modeller.
How to prepare for a job interview at Chubb
✨Know Your Data Modelling Fundamentals
Brush up on your knowledge of conceptual, logical, and physical data models. Be prepared to discuss how these models apply specifically to the insurance domain, as this will demonstrate your expertise and understanding of the role.
✨Understand Business Needs
Familiarise yourself with common data requirements in the insurance industry. During the interview, show that you can translate business needs into structured data models, highlighting your ability to work closely with stakeholders.
✨Showcase Your Collaboration Skills
Emphasise your experience working with diverse teams, including business stakeholders and IT professionals. Provide examples of how you've successfully partnered with others to validate data models and incorporate feedback.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data modelling. Practice articulating your thought process and decision-making skills, especially in scenarios that require adaptability to evolving business demands.
