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For Companies At a Glance
- Tasks: Transform complex reinsurance data into scalable models for pricing and actuarial systems.
- Company: Join a leading firm in the insurance sector, focused on innovation and data excellence.
- Benefits: Enjoy remote work flexibility and competitive daily rates until December 2025.
- Why this job: Be part of a dynamic team, driving impactful insights and enhancing data quality.
- Qualifications: Experience in pricing, actuarial data, and strong SQL skills are essential.
- Other info: This role offers a unique opportunity to shape data governance in a collaborative environment.
The predicted salary is between 48000 - 72000 £ per year.
Contract: Daily rate (Inside IR35, umbrella – UK)
Start Date: ASAP – 31 December 2025
Location: Remote (UK)
Role Overview
As an On-site Data Modeler, you will translate complex reinsurance data into robust, scalable models that power our pricing and actuarial systems. You’ll collaborate with actuaries, underwriters and project teams to ensure data quality, governance and business intelligence (BI) insights are delivered to tight deadlines.
Key Responsibilities
- Data Modelling & Schema Design: Support the Data Architect in defining logical and physical models, ensuring alignment with MVP user stories and solution design.
- Requirements Capture: Run workshops with stakeholders to elicit and document detailed data requirements, mapping attributes to our data warehouse and downstream systems.
- BI Analysis: Leverage business intelligence tools to interpret complex data sets, produce dashboards and drive actionable insights.
- SQL Development: Write and optimise complex Microsoft SQL Server queries for data extraction, transformation and loading (ETL).
- Data Governance: Implement master data management and governance policies to maintain data quality, compliance and lineage.
- Stakeholder Management: Communicate effectively with project managers and cross-functional teams, ensuring transparency on deliverables and timelines.
Candidate Profile
- Proven pricing and actuarial data experience, preferably in reinsurance.
- Solid background in the insurance/reinsurance sector and familiarity with reinsurance pricing projects.
- Expert in SQL (Microsoft SQL Server) and strong Excel/VBA capabilities.
- Exceptional data analysis skills, with a keen eye for data quality and governance best practices.
- Demonstrable experience in Business Analysis, Requirements Analysis and Data Modeling.
- Excellent problem-solving mindset and clear, persuasive communication style.
Primary Skill: BI Analysis
Must-have: Business Analysis · Data Modeling · Insurance · Master Data Management · Requirements Analysis · SQL
Data Modeler employer: Airswift
Contact Detail:
Airswift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler
✨Tip Number 1
Familiarise yourself with the latest trends in data modelling and BI analysis, especially within the reinsurance sector. This knowledge will not only help you during interviews but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the insurance and reinsurance industries. Attend relevant webinars or local meetups to connect with potential colleagues or mentors who can provide insights into the role and possibly refer you to opportunities at StudySmarter.
✨Tip Number 3
Prepare to discuss specific examples of your past work in data modelling and SQL development. Be ready to explain how you've tackled challenges related to data quality and governance, as these are crucial aspects of the role.
✨Tip Number 4
Showcase your communication skills by practising how you would explain complex data concepts to non-technical stakeholders. This is vital for stakeholder management and will set you apart as a candidate who can bridge the gap between technical and business teams.
We think you need these skills to ace Data Modeler
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data modelling, SQL development, and business analysis. Use specific examples from your previous roles that demonstrate your skills in the insurance or reinsurance sector.
Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in the Data Modeler position and how your background aligns with the job requirements. Mention your experience with BI tools and your ability to work under tight deadlines.
Showcase Relevant Projects: If you have worked on projects related to data governance or pricing in the reinsurance industry, be sure to include these in your application. Highlight your role and the impact of your contributions.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Modeler.
How to prepare for a job interview at Airswift
✨Showcase Your Data Modelling Skills
Be prepared to discuss your experience with data modelling and schema design. Bring examples of previous projects where you translated complex data into scalable models, and be ready to explain your thought process and the tools you used.
✨Demonstrate Your SQL Expertise
Since SQL is a must-have skill for this role, brush up on your SQL knowledge. Be ready to answer technical questions or even solve problems on the spot. Practising writing and optimising queries will help you feel more confident.
✨Prepare for Stakeholder Management Questions
Expect questions about how you've managed stakeholder relationships in the past. Think of specific examples where you ran workshops or communicated complex data insights effectively. Highlight your ability to ensure transparency and meet deadlines.
✨Understand the Insurance/Reinsurance Sector
Familiarise yourself with the nuances of the insurance and reinsurance sectors, especially regarding pricing projects. Being able to speak knowledgeably about industry trends and challenges will demonstrate your commitment and understanding of the role.
