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- Tasks: Manage data projects using Collibra Ranger and ensure GDPR compliance.
- Company: Join a dynamic team in the heart of Docklands, London.
- Benefits: Enjoy a competitive salary of £60K - £70K and permanent position stability.
- Why this job: Dive into exciting challenges with Big Data and enhance your project management skills.
- Qualifications: Must have 1-2 years of experience with Collibra Ranger and a background in data management.
- Other info: Experience in the banking sector is a major plus!
The predicted salary is between 60000 - 70000 £ per year.
<b>Job Description</b><br> <br>Collibra Ranger Data Project Manager – Docklands London<br> <br>We are keen to recruit a Collibra Ranger Certified data Project Manager with at least 1 to 2 years experience of Collibra Ranger.<br> <br>Overall you must have a background in data and data management especially in line with GDPR.<br> <br>Any experience of working within the banking sector would be a major plus.<br> <br>This is a permanent position based In the Docklands London.<br> <br>This is an exciting and challenging new position working data, Big Data and Collibra.<br> <br>Salary will be in the range £60K – £70K.<br> <br>Please send your CV to us in Word format along with salary expectations and availability.
Collibra Ranger Data Project Manager- Docklands London employer: Nexus Jobs Limited
Contact Detail:
Nexus Jobs Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Collibra Ranger Data Project Manager- Docklands London
✨Tip Number 1
Make sure to highlight your Collibra Ranger certification in any conversations or networking opportunities. This will show that you have the specific skills and knowledge that we are looking for.
✨Tip Number 2
If you have experience in the banking sector, be ready to discuss specific projects or challenges you've faced. This can set you apart from other candidates and demonstrate your relevant expertise.
✨Tip Number 3
Familiarize yourself with GDPR regulations and how they relate to data management. Being able to speak confidently about compliance will show us that you understand the importance of data governance.
✨Tip Number 4
Network with professionals in the data management field, especially those who have worked with Collibra. They might provide insights or even referrals that could help you land the job with us.
We think you need these skills to ace Collibra Ranger Data Project Manager- Docklands London
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience with Collibra Ranger and any relevant data management roles. Mention specific projects or achievements that showcase your skills in line with GDPR compliance.
Tailor Your CV: Customize your CV to align with the job description. Focus on your background in data management and any experience within the banking sector, as this is considered a major plus.
Salary Expectations: Clearly state your salary expectations in your application. Research typical salaries for similar positions to ensure your expectations are reasonable and competitive.
Format Your Documents: Submit your CV in Word format as requested. Ensure that your documents are well-organized, easy to read, and free of errors before sending them off.
How to prepare for a job interview at Nexus Jobs Limited
✨Show Your Collibra Ranger Expertise
Make sure to highlight your Collibra Ranger certification and any relevant projects you've managed. Be prepared to discuss specific challenges you faced and how you overcame them using Collibra.
✨Demonstrate Your Data Management Knowledge
Since the role requires a strong background in data management, brush up on GDPR regulations and be ready to explain how you've implemented these principles in past projects.
✨Banking Sector Experience is a Plus
If you have experience in the banking sector, make sure to mention it! Discuss how your previous roles relate to data management within that industry and any unique challenges you faced.
✨Prepare for Technical Questions
Expect technical questions related to Big Data and data management tools. Review common scenarios and be ready to explain your thought process and decision-making in those situations.
