At a Glance
- Tasks: Design and implement enterprise-level data models for financial systems.
- Company: Leading digital consultancy in Greater London with a focus on innovation.
- Benefits: Hybrid working model and a comprehensive benefits package.
- Why this job: Join a dynamic team and shape data strategies that drive business success.
- Qualifications: Experience in data modelling and proficiency in relevant tools required.
- Other info: Collaborate with diverse teams and communicate with senior stakeholders.
The predicted salary is between 43200 - 72000 £ per year.
A leading digital consultancy in Greater London is seeking a Mid/Senior Data Modeller to design and implement enterprise-level data models for financial systems and analytical platforms. In this role, you will collaborate with various teams to ensure data aligns with business objectives and standards.
The successful candidate will have experience in data modelling, strong proficiency in relevant tools, and the ability to communicate complex concepts to senior stakeholders. This position offers a hybrid working model and a comprehensive benefits package.
Hybrid Data Modeller – London (Senior/Mid) | ERWin Expert employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Modeller – London (Senior/Mid) | ERWin Expert
✨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 hunt for a new role. You never know who might have the inside scoop on opportunities that aren't advertised yet.
✨Tip Number 2
Prepare for those interviews by brushing up on your ERWin skills and data modelling techniques. We recommend practising common interview questions and scenarios you might face, especially those that involve explaining complex concepts to non-technical stakeholders.
✨Tip Number 3
Showcase your expertise! Create a portfolio of your previous data models and projects. This will not only demonstrate your skills but also give you something tangible to discuss during interviews.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Hybrid Data Modeller – London (Senior/Mid) | ERWin Expert
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Hybrid Data Modeller role. Highlight your experience with data modelling and any relevant tools like ERWin. 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 the perfect fit for this role. Share specific examples of your past work that demonstrate your ability to design and implement data models.
Showcase Your Communication Skills: Since you'll be communicating complex concepts to senior stakeholders, make sure to highlight your communication skills in your application. We love candidates who can break down intricate ideas into simple terms!
Apply Through Our Website: We encourage you to apply through our website for a smoother 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 Jobster
✨Know Your Data Modelling Tools
Make sure you brush up on your ERWin skills before the interview. Be ready to discuss specific projects where you've used this tool, and how it helped you design effective data models. This will show that you’re not just familiar with the software, but that you can leverage it to meet business objectives.
✨Understand the Business Context
Research the company’s financial systems and analytical platforms. Understanding their business model will help you articulate how your data modelling experience aligns with their needs. Prepare examples of how your previous work has directly supported business goals.
✨Communicate Complex Concepts Simply
Practice explaining your data modelling processes in a way that’s easy for non-technical stakeholders to understand. Use analogies or simple terms to break down complex ideas. This skill is crucial for collaborating with various teams and ensuring everyone is on the same page.
✨Prepare Questions for Them
Think of insightful questions to ask during the interview. Inquire about their current data challenges or how they envision the role evolving. This shows your genuine interest in the position and helps you assess if the company is the right fit for you.