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- Tasks: Join us as a Data Quality Analyst to enhance data governance and quality standards.
- Company: Hanson Lee is a leading recruitment firm in the global insurance market.
- Benefits: Enjoy a full-time role with competitive pay and opportunities for professional growth.
- Why this job: Make a real impact on data-driven decision-making in a dynamic team environment.
- Qualifications: 3+ years in data governance or management, preferably in a regulated sector.
- Other info: Experience in the insurance industry is essential for this role.
The predicted salary is between 28800 - 48000 £ 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. As Data Quality Analyst, you will play a key role 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 & data quality principles across the organization
Experience Required:
- Minimum of 3 years in data governance, data management, or a related field
- Proven experience in developing and implementing data governance/quality policies and procedures in a regulated environment
- Familiarity with data management technologies and tools, such as data catalogues, data lineage, and data quality tools
- 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 current trends and challenges in data governance within insurance to demonstrate your understanding during discussions.
✨Tip Number 2
Network with professionals in the insurance industry, especially those involved in data management and governance. Attend relevant events or webinars to connect with potential colleagues and learn about their experiences.
✨Tip Number 3
Prepare to discuss specific data governance frameworks and tools you have used in previous roles. Highlight any successful initiatives you've led that improved data quality or compliance, as this will showcase your expertise.
✨Tip Number 4
Be ready to articulate how you bridge the gap between technical and non-technical stakeholders. Share examples of how you've effectively communicated complex data concepts to diverse teams, which is crucial for this position.
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, especially within the insurance sector. Use specific examples to demonstrate your expertise in developing and implementing data quality policies.
Craft a Compelling Cover Letter: Write a cover letter that showcases your motivation for the role and your understanding of data governance principles. Mention how your skills align with the responsibilities outlined in the job description.
Highlight Stakeholder Management Skills: Emphasise your experience working with both technical and non-technical stakeholders. Provide examples of how you've successfully bridged gaps between data teams and business units in previous roles.
Showcase Technical Proficiency: Include any familiarity you have with data management technologies and tools. Mention specific tools you've used for data cataloguing, lineage, or quality assurance to demonstrate your technical skills.
How to prepare for a job interview at Hanson Lee
✨Showcase Your Data Governance Experience
Make sure to highlight your experience in developing and implementing data governance policies. Be prepared to discuss specific examples from your previous roles, especially in regulated environments, as this is crucial for the position.
✨Understand the Insurance Sector
Since experience in the insurance sector is a must, do your homework on industry-specific data challenges and regulations. This will demonstrate your commitment and understanding of the field during the interview.
✨Prepare for Stakeholder Management Questions
Expect questions about how you've worked with both technical and non-technical stakeholders. Prepare examples that illustrate your ability to bridge gaps between data teams and business units effectively.
✨Advocate for Data Quality Best Practices
Be ready to discuss how you have promoted data quality best practices in your previous roles. Share any initiatives you led or participated in that enhanced data-driven decision-making within your organisation.
