At a Glance
- Tasks: Create and maintain data models to support innovative insurance products.
- Company: Leading insurance firm with a focus on data-driven solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a strong emphasis on innovation and career development.
- Why this job: Join a dynamic team and shape the future of data in insurance.
- 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 Insurance in London employer: MindMatch
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 Insurance in London
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance and data modelling 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 showcasing your data models and projects. Use platforms like GitHub to share your work. 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 common data modelling scenarios in the property and casualty insurance sector. Be ready to discuss how you've tackled challenges in past roles and how your experience aligns with their needs.
✨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 seen by the right people.
We think you need these skills to ace Data Modeler - P Insurance in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Modeler in P&C Insurance. Highlight your experience with data modeling tools, SQL, and any relevant projects that showcase your skills in the insurance industry.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've successfully created data models that align with business goals and how you’ve collaborated with stakeholders in the past.
Showcase Your Analytical Skills:Since strong analytical thinking is key for this position, make sure to include examples of how you've tackled complex data challenges. We want to see how you approach problem-solving and your ability to create efficient data models.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at MindMatch
✨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 prepared 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
During the interview, highlight your analytical thinking abilities. Prepare to discuss how you've tackled complex data challenges in the past. Use real-life scenarios to demonstrate your problem-solving skills and how you’ve created efficient and scalable data models.
✨Familiarise Yourself with Agile Methodologies
Since the role involves working in an Agile environment, make sure you understand Agile principles and practices. Be ready to share your experiences working in Agile teams and how you’ve contributed to successful data product deliveries.
✨Communicate Effectively
Strong communication is key for this role. Practice explaining technical concepts in simple terms, as you'll need to bridge the gap between technical teams and business stakeholders. Prepare to discuss how you've successfully collaborated with different personas in previous roles.
