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- Tasks: Enhance private markets datasets and manage data taxonomies in a collaborative environment.
- Company: Leading financial data provider based in London.
- Benefits: Competitive salary, professional development, and a dynamic work culture.
- Why this job: Play a key role in shaping data structures that support product and client needs.
- Qualifications: Over four years of experience in data modelling and strong communication skills.
- Other info: Opportunity to work in a pivotal role with excellent career advancement potential.
The predicted salary is between 48000 - 72000 £ per year.
A leading financial data provider is seeking a Senior Data Management Professional specializing as a Data Modeller to enhance private markets datasets. Located in London, this role involves managing data taxonomies, collaborating with various teams, and ensuring data integrity.
Candidates should possess over four years of relevant experience, strong communication skills, and knowledge in data governing processes. The role is pivotal in supporting product and client needs through effective data structures and relationships.
Senior Private Markets Data Modeller & Metadata Lead employer: Bloomberg L.P.
Contact Detail:
Bloomberg L.P. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Private Markets Data Modeller & Metadata Lead
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial data sector on LinkedIn. A friendly message can open doors and lead to referrals that might just land you that Senior Data Management role.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with data modelling and taxonomies. This will help us see how you can enhance our private markets datasets.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions related to data governance and integrity. We want to hear how you’ve tackled challenges in your previous roles.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in joining our team and contributing to our mission.
We think you need these skills to ace Senior Private Markets Data Modeller & Metadata Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data modelling and management. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about private markets and how your background makes you the perfect fit for our team. Keep it engaging and personal!
Showcase Your Communication Skills: Since strong communication is key for this role, make sure your application reflects that. Whether it’s through clear language in your CV or a well-structured cover letter, we want to see how you convey complex ideas simply.
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Bloomberg L.P.
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of private markets datasets. Brush up on data taxonomies and be ready to discuss how you've managed data integrity in your previous roles. This will show that you understand the core responsibilities of the position.
✨Showcase Your Collaboration Skills
Since this role involves working with various teams, prepare examples of how you've successfully collaborated in the past. Highlight any cross-functional projects where you’ve had to communicate complex data concepts to non-technical stakeholders.
✨Demonstrate Your Problem-Solving Abilities
Be ready to discuss specific challenges you've faced in data modelling and how you overcame them. This could involve improving data structures or resolving data integrity issues. Use the STAR method (Situation, Task, Action, Result) to frame your answers.
✨Prepare Questions That Matter
Think of insightful questions to ask about the company’s data governance processes and how they align with product and client needs. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
