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 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 strong 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 employer: ValueMomentum
Join a forward-thinking company in London that values innovation and collaboration, offering a hybrid work model that promotes work-life balance. As a Data Modeler in the property and casualty insurance sector, you'll have the opportunity to shape impactful data products while benefiting from a supportive work culture that prioritises employee growth and development. With access to cutting-edge tools and a commitment to excellence, this role is perfect for those looking to make a meaningful contribution in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Modeler - P Insurance
✨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 data modeling questions and practice your answers. Be ready to discuss how your experience aligns with the role, especially in relation to business goals and data product management. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job postings and make sure your application stands out by tailoring it to the specific role you’re after.
We think you need these skills to ace Data Modeler - P Insurance
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!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data modeling and how you can contribute to our team. Don’t forget to mention your familiarity with SQL, Python, and Agile methodologies.
Showcase Your Analytical Skills:Since strong analytical thinking is key for this role, include examples of how you've created efficient data models in the past. We love seeing real-world applications of your skills!
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 get to know you better!
How to prepare for a job interview at ValueMomentum
✨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.
✨Master the Tools of the Trade
Familiarise yourself with SQL, Python, and any data modeling tools mentioned in the job description. If you have experience with Agile methodologies, be prepared to share how you've applied them in past projects. This will demonstrate your technical proficiency and adaptability.
✨Communicate Like a Pro
Since this role involves collaboration with various stakeholders, practice articulating complex data concepts in simple terms. Think about how you can bridge the gap between technical teams and business owners. Clear communication can set you apart from other candidates.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Highlight your analytical thinking and problem-solving abilities, especially in dynamic environments. This will illustrate your capability to thrive in fast-paced settings.
