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- Tasks: Shape data foundations for a major digital transformation and develop high-quality data models.
- Company: Leading consultancy firm in Greater London with a focus on innovation.
- Benefits: Competitive pay based on experience and a dynamic work environment.
- Why this job: Join a transformative project and make a significant impact on business objectives.
- Qualifications: Expertise in data modelling tools, especially Erwin, and strong modelling techniques.
- Other info: 6-month contract with opportunities for professional growth.
The predicted salary is between 48000 - 72000 £ per year.
A leading consultancy firm in Greater London is seeking an experienced Data Modeller to help shape the data foundations for a major digital transformation. This role involves developing high-quality conceptual and logical data models, collaborating with cross-functional teams to align data structures with business objectives, and ensuring best practices are followed.
Applicants should have strong expertise in data modelling tools, particularly Erwin, and a solid understanding of various modelling techniques. This position is a 6-month contract with competitive pay based on experience.
Data Modeller — Modern Data Architecture for Revenue employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeller — Modern Data Architecture for Revenue
✨Tip Number 1
Network like a pro! Reach out to your connections in the data modelling field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data models and projects. This will give potential employers a clear idea of what you can bring to the table, especially when it comes to aligning data structures with business objectives.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of data modelling tools, especially Erwin. Be ready to discuss your experience and how you've applied various modelling techniques in past projects.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Data Modeller — Modern Data Architecture for Revenue
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data modelling tools like Erwin. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Data Modeller role. We love seeing enthusiasm and a clear understanding of how you can contribute to our digital transformation.
Showcase Collaboration Skills: Since this role involves working with cross-functional teams, make sure to mention any past experiences where you’ve successfully collaborated with others. We value teamwork and want to know how you can help us align data structures with business objectives.
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 regarding your application status!
How to prepare for a job interview at Oliver Bernard
✨Know Your Data Modelling Tools
Make sure you brush up on your knowledge of data modelling tools, especially Erwin. Be prepared to discuss how you've used these tools in past projects and the impact they had on the outcomes.
✨Understand Business Objectives
Familiarise yourself with how data structures align with business goals. Think of examples where your data models have directly supported business objectives, and be ready to share these during the interview.
✨Collaboration is Key
Since this role involves working with cross-functional teams, be prepared to talk about your experience collaborating with different departments. Highlight any successful projects where teamwork was essential to achieving results.
✨Best Practices Matter
Showcase your understanding of best practices in data modelling. Discuss how you ensure quality and consistency in your work, and be ready to explain how you stay updated with industry standards.
