At a Glance
- Tasks: Create and maintain data models for innovative insurance products while collaborating with cross-functional teams.
- Company: Leading P&C insurance firm in London with a hybrid work culture.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Fast-paced environment with a focus on innovation and collaboration.
- Why this job: Join a dynamic team to shape the future of data in the insurance industry.
- Qualifications: 8+ years in data modeling, preferably in property and casualty insurance.
The predicted salary is between 70000 - 90000 € per year.
Location: London, UK
Mode: Hybrid
Role Summary: As a business modeling focused data modeler, your role involves creating and maintaining various levels of data models that align with Sub domain/Super Domain goals. You will closely work with the sub domain owners and sub domain Data product managers to understand business goals, value hypothesis, and use cases to help build Data products that are well supported by effective and efficient data models. In this role you will be responsible to closely collaborate with other personas in the domain driven architecture/operating model to drive the growth of your business domains.
Qualifications:
- Bachelor's degree in computer science, Data Science, Statistics, Mathematics, or a related field.
- Minimum of 8+ years of experience in data modeling in the property and casualty insurance industry.
- Proficiency in SQL, data modeling tools and languages such as Python and UML.
- Strong analytical thinking is essential for creating efficient and scalable data models that meet business needs.
- Proven experience as a Data Modeler preferably in the property and casualty insurance industry.
- Familiarity with property and casualty insurance industry data, systems, and processes.
- Ability to understand business needs, revenue drivers and stakeholder requirements.
- Take ownership of the product's success and advocate for its value.
- Experience with Agile methodologies and data modeling tools.
- Familiarity with data modeling concepts and database technologies.
- Excellent communication and leadership skills, with the ability to bridge the gap between technical teams and business stakeholders.
- Strong problem-solving skills and the ability to work in a dynamic, fast-paced environment.
Key Responsibilities:
- Business Analysis and strategic planning: Analyse business use cases to understand the goal and value hypothesis that the domain owners are driving towards.
- Model Design and Build: Create data models that will support the data product vision of the Data product manager. Develop conceptual models representing the sub/super domain business model. Ensure the conceptual model is created with Meta Model/Ontology and/or Knowledge Graph utilization. Develop logical and physical data models to meet the Data product requirements through the means of business use cases and the KPIs. During the Physical data modeling process of the data product, ensure all the various output requirements are fully satisfied. E.g. – SQL endpoints, Dashboard/Reports and API consumption.
- Data Mapping and Quality: Ensure the data catalog activities for the data product are carried out. Help the domain data analysts to complete the source to target mapping, data quality rule setup for the target data model's critical data elements (CDE).
- Database Optimization: Optimize Cloud databases such as Delta Lake or One Lake for efficiency, scalability, and faster access using techniques like indexing and partitioning.
- Data Governance: Work with Federated Governance guild to define global policies that define and govern data modeling practices, design standards, best practices across the data marketplace.
- Collaboration: Work closely with data engineers, analysts, and other teams to implement and maintain effective data models.
Data Modeler - P&C Insurance in London employer: LinkedIn
As a leading player in the property and casualty insurance sector, our company offers a dynamic work environment in London that fosters innovation and collaboration. We prioritise employee growth through continuous learning opportunities and a supportive culture that values diverse perspectives. With a hybrid work model, competitive benefits, and a commitment to data excellence, we empower our Data Modelers to drive impactful business outcomes while enjoying a fulfilling career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Modeler - P&C Insurance in London
✨Tip Number 1
Network like a pro! Reach out to folks in the property and casualty insurance industry 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 showcasing your data models and projects. Use platforms like GitHub to share your work. This not only demonstrates your expertise but also gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Research common questions for data modelers in the insurance sector and practice your responses. Be ready to discuss your experience with SQL, Python, and any data modelling tools you've used. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Tailor your application to highlight your experience in data modelling and how it aligns with our goals. Let’s get you that dream job!
We think you need these skills to ace Data Modeler - P&C Insurance in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Modeler role. Highlight your experience in data modeling, especially in the property and casualty insurance industry. We want to see how your skills align with our needs!
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples of how you've used SQL, Python, or UML in your previous roles. This helps us understand your practical experience and problem-solving abilities.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you’re passionate about data modeling and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of our business goals.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of it. Plus, it shows you’re keen on joining StudySmarter!
How to prepare for a job interview at LinkedIn
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data modeling, especially in the property and casualty insurance sector. Be ready to discuss specific examples of data models you've created and how they aligned with business goals. This will show that you understand the industry and can contribute effectively.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical thinking during the interview. Think of scenarios where you've solved complex problems through data modelling. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Familiarise Yourself with Agile Methodologies
Since experience with Agile methodologies is a key requirement, be prepared to discuss how you've applied Agile principles in your previous roles. Share specific instances where Agile practices helped improve project outcomes or team collaboration.
✨Communicate Effectively
As a Data Modeler, you'll need to bridge the gap between technical teams and business stakeholders. Practice explaining complex data concepts in simple terms. During the interview, focus on clear communication and active listening to demonstrate your ability to collaborate effectively.
