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For Companies At a Glance
- 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 work options and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping data strategies that impact the business.
- Qualifications: Experience in data modelling, SQL proficiency, and insurance industry knowledge required.
- Other info: Ideal for those looking to innovate in a cloud-based environment.
The predicted salary is between 48000 - 72000 £ per year.
Job Description
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 data and physical models for the organisation
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 rule, ensuring alignment with business rules and objectives
Work closely with business stakeholders to understand data requirements and translate them into structured data model that meet organisational 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 details
Preferred to have experience with cloud based data platform like Snowflake, Azure.
Senior Data Modeler - LMA employer: LMA
Contact Detail:
LMA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Modeler - LMA
✨Tip Number 1
Familiarise yourself with the latest trends in data modelling, especially within the insurance sector. Understanding how data models are evolving in this industry will help you speak confidently about your insights during interviews.
✨Tip Number 2
Network with professionals in the insurance and data modelling fields. Attend relevant meetups or webinars to connect with potential colleagues and learn more about the specific challenges they face, which can give you an edge in discussions.
✨Tip Number 3
Brush up on your SQL and scripting skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that require data modelling to showcase your abilities.
✨Tip Number 4
Research cloud-based data platforms like Snowflake and Azure. Familiarity with these technologies will not only enhance your skill set but also demonstrate your commitment to staying current in the field, making you a more attractive candidate.
We think you need these skills to ace Senior Data Modeler - LMA
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Senior Data Modeler. Familiarise yourself with data modelling concepts, especially in the context of the insurance industry.
Tailor Your CV: Highlight your relevant experience in data modelling, particularly your work with conceptual and logical data models. Include specific examples of projects where you've designed and implemented physical data models.
Craft a Compelling Cover Letter: In your cover letter, explain how your skills align with the job requirements. Mention your proficiency in SQL and any experience with cloud-based platforms like Snowflake or Azure, as these are key for the role.
Showcase Problem-Solving Skills: Provide examples in your application that demonstrate your problem-solving abilities and attention to detail. This could be through specific challenges you've faced in previous roles and how you overcame them.
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 contribute to their goals.
✨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 you've leveraged these technologies in your previous roles to enhance data modelling processes.
