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- Tasks: Manage and curate extensive data assets while ensuring quality and accessibility.
- Company: Leading financial technology firm in Greater London with a supportive work environment.
- Benefits: Competitive salary, annual bonuses, generous leave, and a collaborative culture.
- Why this job: Join a dynamic team and make an impact in the financial tech industry.
- Qualifications: Background in finance or computer science with strong analytical skills.
- Other info: Great opportunities for professional growth and development.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial technology firm in Greater London is seeking a Data Vendor Analyst to manage and curate their extensive data assets. This role entails overseeing data lifecycle processes, ensuring quality and accessibility to stakeholders.
The ideal candidate will have a background in finance or computer science, strong analytical skills, and familiarity with data cataloguing tools.
Employees benefit from competitive salaries, annual bonuses, generous leave, and a supportive work environment.
Data Intelligence Analyst: Vendor Data & Catalogue in London employer: G-Research
Contact Detail:
G-Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Intelligence Analyst: Vendor Data & Catalogue in London
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and tech sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your analytical prowess and experience with data cataloguing tools. This will make you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for those tricky interview questions by doing mock interviews with friends or using online platforms. The more you practice, the more confident you'll feel.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it gives you a better chance of getting noticed!
We think you need these skills to ace Data Intelligence Analyst: Vendor Data & Catalogue in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data management and any relevant skills in finance or computer science. We want to see how your background aligns with the role of a Data Vendor Analyst!
Showcase Analytical Skills: In your application, emphasise your strong analytical skills. Give examples of how you've used these skills in previous roles, especially in managing data assets or using data cataloguing tools.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. We appreciate straightforward communication, so make sure you convey your passion for the role without unnecessary fluff.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our supportive work environment.
How to prepare for a job interview at G-Research
✨Know Your Data
Make sure you brush up on your knowledge of data lifecycle processes and data cataloguing tools. Be prepared to discuss how you've managed data assets in the past and any specific tools you've used. This will show that you're not just familiar with the concepts but have practical experience.
✨Showcase Your Analytical Skills
Prepare examples of how you've used your analytical skills to solve problems or improve processes. Think about specific projects where your insights made a difference. This will help demonstrate your value to the firm and how you can contribute to their data management efforts.
✨Understand the Financial Context
Since this role is within a financial technology firm, it’s crucial to understand the basics of finance. Brush up on key financial concepts and be ready to discuss how data impacts decision-making in finance. This will show that you can bridge the gap between data and its application in the financial sector.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and how they manage their data assets. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals. Plus, it demonstrates your proactive approach to understanding their needs.
