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- Tasks: Create and implement data models for enterprise analytical platforms.
- Company: Join a leading firm in the investment domain, shaping data strategies.
- Benefits: Enjoy competitive pay, flexible working hours, and opportunities for professional growth.
- Why this job: Be part of a dynamic team making impactful decisions in the investment sector.
- Qualifications: 10+ years in data modeling with specific experience in the investment domain required.
- Other info: Experience with SQLDM and Big Query is a plus.
The predicted salary is between 54000 - 84000 £ per year.
10+ years of experience in data modeling. At least 1 year of experience in implementing a data model for an enterprise analytical platform. 4+ years of experience in developing ER and Dimensional models. Experience in the Investment domain is a must, with knowledge of Fund, Holdings, Cashflow, etc. Experience in building conceptual, logical, and physical models. Experience in SQLDM tool is an advantage. Knowledge of Big Query is an advantage.
Data Modeler employer: N Consulting Limited
Contact Detail:
N Consulting Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler
✨Tip Number 1
Network with professionals in the investment domain. Attend industry meetups or webinars to connect with others who work in data modelling and analytics. This can help you learn about job openings and get referrals.
✨Tip Number 2
Showcase your experience with ER and Dimensional models in conversations. Be prepared to discuss specific projects where you've implemented these models, especially in relation to enterprise analytical platforms.
✨Tip Number 3
Familiarise yourself with SQLDM and Big Query if you haven't already. Even if you don't have direct experience, demonstrating your willingness to learn these tools can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by brushing up on your data modelling concepts and practices. Be ready to solve real-world problems related to fund management, holdings, and cash flow during the interview process.
We think you need these skills to ace Data Modeler
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasise your 10+ years of experience in data modeling. Clearly outline your specific roles and responsibilities, especially those related to implementing data models for enterprise analytical platforms.
Showcase Technical Skills: Detail your experience with ER and Dimensional models, as well as any familiarity with SQLDM tools and Big Query. Providing examples of projects where you utilised these skills can strengthen your application.
Demonstrate Industry Knowledge: Since experience in the Investment domain is crucial, include specific examples of your work with Funds, Holdings, and Cashflow. This will show that you understand the nuances of the industry.
Craft a Tailored Cover Letter: Write a cover letter that connects your background directly to the job description. Mention how your experience aligns with the company's needs and express your enthusiasm for the role.
How to prepare for a job interview at N Consulting Limited
✨Showcase Your Experience
With over 10 years in data modeling, be ready to discuss specific projects where you've implemented data models for enterprise analytical platforms. Highlight your experience in developing ER and Dimensional models, especially in the investment domain.
✨Demonstrate Domain Knowledge
Since experience in the investment domain is crucial, prepare to talk about your understanding of key concepts like Fund, Holdings, and Cashflow. Use examples from your past work to illustrate your expertise.
✨Discuss Modelling Techniques
Be prepared to explain your approach to building conceptual, logical, and physical models. Discuss any challenges you faced and how you overcame them, showcasing your problem-solving skills.
✨Familiarity with Tools
If you have experience with SQLDM or Big Query, make sure to mention it. Even if you haven't used these tools extensively, showing a willingness to learn and adapt can impress interviewers.
