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- Tasks: Design and maintain data models for a leading insurance institution.
- Company: Join a top-tier insurance company with a growing technology team.
- Benefits: Enjoy flexible working options and a supportive corporate culture.
- Why this job: Be part of a dynamic team shaping data strategies that drive business success.
- Qualifications: Experience in data modelling, SQL proficiency, and insurance industry knowledge required.
- Other info: This role is open for applications now; don't miss your chance!
The predicted salary is between 48000 - 72000 £ per year.
We’re seeking a skilled and adaptable Senior Data Modeler to join an expanding Technology team within a leading insurance institution. You’ll play a key role in designing and maintaining enterprise-wide conceptual, logical, and physical data models for the organization.
Key Responsibilities
- Develop and maintain the enterprise-wide conceptual data model to provide a high-level view of data domains, entities, and their relationships, along with 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 organizational needs.
- Ensure conceptual and logical data models are reusable, scalable, and adaptable to evolving business demands.
Skills
- Extensive experience in data modelling, with a strong focus on conceptual and logical data models, and proven expertise in designing and implementing physical data models.
- Experience in the insurance industry.
- Proficiency in SQL and scripting.
- Excellent problem-solving skills and strong attention to detail.
- Preferred experience with cloud-based data platforms like Snowflake, Azure.
LMA Recruitment are specialists in permanent and temporary recruitment for the Finance, HR, Business Support, and Financial Services skillsets.
This job is active and open for applications.
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Senior Data Modeler | London, UK employer: LMA
Contact Detail:
LMA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Modeler | London, UK
✨Tip Number 1
Familiarise yourself with the latest trends in data modelling, especially within the insurance sector. This will not only help you understand the specific needs of the role but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the insurance industry and data modelling community. Attend relevant meetups or webinars to connect with potential colleagues and gain insights into what they value in a Senior Data Modeler.
✨Tip Number 3
Prepare to discuss your experience with cloud-based data platforms like Snowflake and Azure during interviews. Be ready to share specific examples of how you've used these tools to enhance data models and support business objectives.
✨Tip Number 4
Showcase your problem-solving skills by preparing case studies or examples from your past work where you successfully tackled complex data modelling challenges. This will highlight your analytical abilities and attention to detail, which are crucial for this role.
We think you need these skills to ace Senior Data Modeler | London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience in data modelling, particularly focusing on conceptual and logical data models. Include specific examples of your work in the insurance industry to demonstrate your relevant expertise.
Craft a Compelling Cover Letter: Write a cover letter that clearly outlines your understanding of the role and how your skills align with the key responsibilities. Emphasise your problem-solving skills and attention to detail, as these are crucial for the position.
Showcase Technical Skills: In your application, be sure to mention your proficiency in SQL and any scripting languages you are familiar with. If you have experience with cloud-based data platforms like Snowflake or Azure, highlight this as it is preferred by the employer.
Follow Application Instructions: Carefully read the job posting for any specific application instructions. Ensure that you submit all required documents and adhere to any formatting guidelines provided by the company.
How to prepare for a job interview at LMA
✨Showcase Your Data Modelling Expertise
Be prepared to discuss your extensive experience in data modelling. Highlight specific projects where you developed conceptual and logical data models, and explain how they aligned with business objectives.
✨Understand the Insurance Industry
Familiarise yourself with the insurance sector's unique data requirements. Be ready to discuss how your previous experience in this industry can benefit the organisation and its data needs.
✨Demonstrate Problem-Solving Skills
Prepare examples of complex data challenges you've faced and how you resolved them. This will showcase your analytical thinking and attention to detail, which are crucial for a Senior Data Modeler.
✨Discuss Cloud-Based Platforms
If you have experience with cloud-based data platforms like Snowflake or Azure, make sure to mention it. Discuss how these tools can enhance data modelling processes and support scalability and adaptability.
