Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Ensure data quality and governance while collaborating with various departments.
- Company: Join a successful London Market syndicate focused on data integrity.
- Benefits: Enjoy a dynamic work environment with opportunities for professional growth.
- Why this job: Be part of a team that drives impactful data-driven decisions and enhances business performance.
- Qualifications: 3+ years in data governance or management, preferably in a regulated sector.
- Other info: Experience in the insurance sector is essential for this role.
The predicted salary is between 36000 - 60000 £ per year.
A successful and established London Market syndicate is seeking a highly motivated and detail-oriented Data Quality Analyst to join their team. The Data Quality Analyst is integral to ensuring the organization's data assets are managed, secured, and utilized to support business decision-making. This role will play a key part in maintaining and driving quality standards, policies, and procedures related to data governance while collaborating with stakeholders across departments to enhance data quality and integrity.
Key Responsibilities:
- Develop and implement a comprehensive data governance framework
- Help create, implement, and maintain data governance policies and procedures to ensure the business is compliant with relevant regulatory requirements
- Work with data owners and data stewards to establish and enforce data quality metrics, monitoring, and improvement processes
- Identify and appoint data stewards, providing guidance and support
- Develop and maintain a data catalog, taxonomy, and data lineage documentation
- Advocate for data quality best practices and drive initiatives to enhance data-driven decision-making
- Develop and deliver training and awareness programs to promote data governance and data quality principles across the organization
Experience Required:
- Minimum of 3 years in data governance, data management, or a related field
- Data Governance Expertise: Proven experience in developing and implementing data governance/quality policies and procedures in a regulated environment
- Technology Skills: Familiarity with data management technologies and tools, such as data catalogues, data lineage, and data quality tools
- Stakeholder Management: Proven history of working with both technical and non-technical stakeholders, bridging the gap between data teams and business units
Data Quality Analyst employer: Hanson Lee
Contact Detail:
Hanson Lee Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Analyst
✨Tip Number 1
Familiarise yourself with the insurance sector, as this role specifically requires experience in that field. Research common data governance practices within insurance companies to understand the unique challenges and standards they face.
✨Tip Number 2
Network with professionals already working in data governance roles, especially within the insurance industry. Attend relevant industry events or webinars to connect with potential colleagues and learn about their experiences and insights.
✨Tip Number 3
Brush up on your technical skills related to data management tools. Being familiar with data catalogues, data lineage, and data quality tools will give you an edge and demonstrate your commitment to the role.
✨Tip Number 4
Prepare to discuss your stakeholder management experience in detail. Think of specific examples where you've successfully collaborated with both technical and non-technical teams to bridge gaps and enhance data quality.
We think you need these skills to ace Data Quality Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data governance and management. Emphasise any specific projects or roles where you've developed or implemented data quality policies, especially in a regulated environment.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data quality and governance. Mention your experience in the insurance sector if applicable, and how it aligns with the company's needs. Be sure to showcase your stakeholder management skills.
Highlight Technical Skills: Clearly outline your familiarity with data management technologies and tools in your application. If you have experience with data catalogues, data lineage, or data quality tools, make sure to mention these explicitly.
Showcase Collaboration Experience: Provide examples of how you've worked with both technical and non-technical stakeholders in previous roles. This will demonstrate your ability to bridge gaps between data teams and business units, which is crucial for this position.
How to prepare for a job interview at Hanson Lee
✨Showcase Your Data Governance Experience
Make sure to highlight your previous experience in data governance and management. Be prepared to discuss specific policies or frameworks you've developed and how they improved data quality in your past roles.
✨Understand the Insurance Sector
Since this role requires experience in the insurance sector, brush up on industry-specific regulations and challenges. Demonstrating your knowledge of how data governance applies in this context will set you apart from other candidates.
✨Prepare for Stakeholder Scenarios
Think of examples where you've successfully collaborated with both technical and non-technical stakeholders. Be ready to explain how you bridged gaps between teams and ensured everyone was aligned on data quality initiatives.
✨Advocate for Best Practices
Be prepared to discuss your approach to promoting data quality best practices within an organisation. Share any training programs or awareness initiatives you've led, as this shows your commitment to enhancing data-driven decision-making.
