Senior Data Modeller, Specialty Insurance & Snowflake in London
Senior Data Modeller, Specialty Insurance & Snowflake

Senior Data Modeller, Specialty Insurance & Snowflake in London

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Translate complex business needs into top-notch data models for specialty insurance.
  • Company: Leading analytics firm in the heart of Greater London.
  • Benefits: Flexible part-time hours and opportunities to work with senior stakeholders.
  • Why this job: Join a dynamic team and make a real impact in the specialty insurance sector.
  • Qualifications: Proven data modelling experience and strong communication skills required.
  • Other info: Part-time onsite work at a vibrant London client site.

The predicted salary is between 43200 - 72000 £ per year.

A leading analytics firm in the Greater London area is seeking an experienced Data Modeller to join their team. The role involves translating complex business requirements into high-quality data models that support specialty insurance products.

Candidates should have proven experience in data modelling across all layers and familiarity with the specialty insurance domain. Strong communication skills are essential for collaborating with senior stakeholders. The position requires part-time onsite work at the London client site.

Senior Data Modeller, Specialty Insurance & Snowflake in London employer: Empresaria UK Ltd

As a leading analytics firm in the vibrant Greater London area, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. We offer competitive benefits, flexible working arrangements, and ample opportunities for professional growth, ensuring that our team members can thrive both personally and professionally while contributing to impactful projects in the specialty insurance sector.
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Contact Detail:

Empresaria UK Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Modeller, Specialty Insurance & Snowflake in London

✨Tip Number 1

Network like a pro! Reach out to folks in the specialty insurance and data modelling space. LinkedIn is your best mate here – connect, engage, and don’t be shy to ask for informational chats. 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. This is your chance to demonstrate how you can translate complex business requirements into high-quality data models. A visual representation of your work can really make you stand out!

✨Tip Number 3

Prepare for those interviews! Brush up on your communication skills because you'll need to collaborate with senior stakeholders. Practice explaining your past projects and how they relate to the specialty insurance domain. 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 specialty insurance – it’ll show us you mean business!

We think you need these skills to ace Senior Data Modeller, Specialty Insurance & Snowflake in London

Data Modelling
Specialty Insurance Knowledge
Communication Skills
Stakeholder Collaboration
Analytical Skills
Business Requirements Translation
Attention to Detail
Experience with Data Models

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in data modelling and the specialty insurance domain. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data modelling and how your background makes you a perfect fit for our team. Let us know what excites you about this opportunity!

Showcase Your Communication Skills: Since strong communication is key for this role, make sure to demonstrate your ability to convey complex ideas clearly in your application. We love candidates who can engage with stakeholders effectively!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!

How to prepare for a job interview at Empresaria UK Ltd

✨Know Your Data Modelling Inside Out

Make sure you brush up on your data modelling skills, especially in the context of specialty insurance. Be ready to discuss specific projects where you've translated complex business requirements into effective data models. This will show that you not only understand the technical side but also how it applies to the industry.

✨Familiarise Yourself with Snowflake

Since this role involves Snowflake, take some time to get comfortable with its features and functionalities. If you can, prepare a few examples of how you've used Snowflake in past projects. This will demonstrate your hands-on experience and make you stand out as a candidate.

✨Communicate Clearly and Confidently

Strong communication skills are key for this position, so practice articulating your thoughts clearly. Think about how you can explain complex concepts in simple terms, especially when discussing your work with senior stakeholders. This will help you build rapport and show that you can bridge the gap between technical and non-technical teams.

✨Prepare Questions for Them

Interviews are a two-way street, so come prepared with insightful questions about the company and the role. Ask about their current data challenges or how they envision the future of data modelling in specialty insurance. This shows your genuine interest and helps you assess if the company is the right fit for you.

Senior Data Modeller, Specialty Insurance & Snowflake in London
Empresaria UK Ltd
Location: London
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  • Senior Data Modeller, Specialty Insurance & Snowflake in London

    London
    Full-Time
    43200 - 72000 £ / year (est.)
  • E

    Empresaria UK Ltd

    50-100
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