At a Glance
- Tasks: Manage and deliver trusted data while ensuring accuracy and compliance.
- Company: Join a leading insurance and reinsurance business with innovative solutions.
- Benefits: Permanent position with competitive salary and opportunities for growth.
- Why this job: Be at the forefront of data governance in a dynamic industry.
- Qualifications: Experience in data governance and strong SQL skills required.
- Other info: Collaborative team environment with a focus on continuous improvement.
The predicted salary is between 36000 - 60000 £ per year.
Location: London | Type: Permanent | Sector: Insurance
MUST HAVE INSURANCE EXPERIENCE
Arthur has partnered with an insurance and reinsurance business that offers solutions for high-risk, high-capacity commercial and industrial enterprises, combining expertise with cutting-edge science, data, and analytics.
The Role
We’re looking for a Data Governance Analyst to join our Data Team, central to sourcing, managing, and delivering trusted data via the Data Platform. You’ll ensure accurate, consistent, and well-governed master and reference data, manage our data catalogue and business glossary, and support compliance and business decision-making.
Key Responsibilities
- Master Data Management: Maintain a single, accurate view of customer data; monitor MDM processes; collaborate with data stewards; support integration into downstream systems.
- Reference Data Management: Maintain a central reference data catalogue; validate and update reference data; align with business stakeholders.
- Data Catalogue & Business Glossary: Document new data assets; maintain lineage, ownership, and metadata; promote catalogue adoption.
- Data Quality & Governance: Monitor data quality; investigate issues; contribute to governance standards and continuous improvement.
- Stakeholder Engagement: Support governance forums; provide insights on data quality; act as a first line of support for queries.
What We’re Looking For
- Experience in data governance, MDM, or RDM in complex environments.
- Strong knowledge of data management concepts: MDM, RDM, data quality, business glossary, data lineage.
- Practical experience with data quality monitoring and resolution.
- Familiarity with data catalogues and metadata tools.
- Strong SQL and analytical skills.
- Excellent communication and stakeholder engagement.
- Awareness of regulatory and audit requirements (e.g., Lloyd’s data standards).
Nice to Have:
- Hands-on with MDM tools (Profisee, Informatica, Reltio, Microsoft MDS).
- Experience with data catalogue platforms (Collibra, Alation, Purview).
- Exposure to insurance/financial services data (customer, policy, claims).
Sounds good? Apply now!!
Data Management Specialist - MDM RDM employer: Arthur Recruitment
Contact Detail:
Arthur Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Management Specialist - MDM RDM
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance sector and let them know you're on the hunt for a Data Management Specialist role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Get your LinkedIn game on point! Make sure your profile highlights your experience in data governance and MDM. Join relevant groups, engage with posts, and share your insights to get noticed by recruiters in the insurance industry.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL skills and data management concepts. Be ready to discuss how you've tackled data quality issues in the past and how you can contribute to the company's data governance efforts.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Data Management Specialist - MDM RDM
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience in data governance, MDM, or RDM, especially in insurance. We want to see how your skills align with what we're looking for!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples of how you've managed data quality or engaged with stakeholders. This helps us see your practical experience in action.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's relevant. Make it easy for us to understand your qualifications and experiences.
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 any important updates from us!
How to prepare for a job interview at Arthur Recruitment
✨Know Your Data Management Concepts
Make sure you brush up on your knowledge of Master Data Management (MDM) and Reference Data Management (RDM). Be ready to discuss how these concepts apply in complex environments, especially within the insurance sector. This will show that you understand the core responsibilities of the role.
✨Showcase Your SQL Skills
Since strong SQL skills are a must-have for this position, prepare to demonstrate your analytical abilities. You might be asked to solve a problem or analyse a dataset during the interview, so practice some SQL queries beforehand to feel confident.
✨Engage with Stakeholders
Highlight your experience in stakeholder engagement. Prepare examples of how you've communicated data quality issues or collaborated with data stewards in the past. This will illustrate your ability to work effectively within teams and support governance forums.
✨Familiarise Yourself with Tools
If you have hands-on experience with MDM tools like Profisee or Informatica, make sure to mention it. Even if you haven't used them directly, showing awareness of data catalogue platforms like Collibra or Alation can set you apart. It demonstrates your proactive approach to learning and adapting to new technologies.