Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team to ensure data quality and integrity across systems.
- Company: Join a growing company in West Sussex focused on data management innovation.
- Benefits: Enjoy excellent perks, development opportunities, and a chance to shape your role.
- Why this job: Be part of an exciting growth phase with new technologies and impactful projects.
- Qualifications: Experience in data quality roles, team leadership, and data governance required.
- Other info: Opportunity to implement your own strategies and make a real difference.
The predicted salary is between 48000 - 72000 £ per year.
We have a fantastic opportunity for an experienced Data Quality Lead to join our client in West Sussex. This is a newly created role and the Data Quality Lead will be involved in developing and implementing data quality management strategies and frameworks, as well as overseeing the quality and integrity of data within the business and systems.
The Data Quality Lead will be responsible for leading and developing a small team, ensuring their metrics are being met and driving continuous improvement in data accuracy, consistency, and integrity across all relevant systems and processes. Working across the business you will develop relationships and work with stakeholders to understand data requirements and quality needs, and drive out resolutions to completion.
This is an exciting time in the company’s growth, they have recently made investment in new data sources and data quality management technology to meet commercial data strategy and compliance data quality needs. There is an opportunity for this person to come in and make the role their own.
Skills & Experience needed:
- Previous experience within a similar Data Quality role where you have implemented data quality standards, policies, and best practices.
- Understanding of data management principles with experience of data governance frameworks.
- Experience of leading and developing teams of data quality analysts.
- Experience with data governance and stewardship, ensuring data quality at all stages of its lifecycle.
- Conduct data quality assessments and audits, identifying and prioritising issues.
- Ability to define and measure key Data Quality KPIs.
- Ability to develop and implement mitigation strategies for data quality risks.
- Ability to lead cross-functional initiatives data quality improvement projects, including planning, execution, and resource management.
- Strong communication skills to influence business stakeholders and IT teams.
- Hands on and current experience with data profiling techniques to analyse data and identify issues.
- Strong problem-solving skills to identify root causes of data quality issues.
- Evidenced delivery of automated solutions to streamline data cleaning.
- Experienced at creating dashboards and reports using BI tools, preferably Power BI.
- An understanding of relational databases, SQL Server/Oracle & writing SQL queries.
- Experience of using Aperture would be desirable.
In return they offer an excellent benefits package & development opportunities.
Data Quality Lead employer: Better Days Recruitment
Contact Detail:
Better Days Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Lead
✨Tip Number 1
Familiarise yourself with the latest data quality management technologies and frameworks. Being knowledgeable about current tools and methodologies will not only boost your confidence but also demonstrate your commitment to staying ahead in the field.
✨Tip Number 2
Network with professionals in the data quality space, especially those who have experience in leading teams. Engaging with others can provide insights into best practices and may even lead to referrals or recommendations for the role.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully implemented data quality standards in previous roles. Highlighting your hands-on experience will help you stand out as a candidate who can make an immediate impact.
✨Tip Number 4
Showcase your ability to communicate effectively with both technical and non-technical stakeholders. Being able to bridge the gap between IT and business needs is crucial for a Data Quality Lead, so be ready to share how you've done this in the past.
We think you need these skills to ace Data Quality Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your previous experience in data quality roles. Emphasise your skills in implementing data quality standards, leading teams, and conducting data assessments. Use specific examples to demonstrate your achievements.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the Data Quality Lead position. Discuss how your background aligns with the company's needs, particularly in developing data quality management strategies and working with stakeholders.
Showcase Relevant Skills: Clearly outline your understanding of data governance frameworks and your experience with data profiling techniques. Mention any specific tools you have used, such as Power BI or SQL, to strengthen your application.
Highlight Leadership Experience: Since this role involves leading a team, be sure to highlight your leadership experience. Provide examples of how you've developed teams and driven continuous improvement in data quality in your previous roles.
How to prepare for a job interview at Better Days Recruitment
✨Showcase Your Data Quality Experience
Be prepared to discuss your previous roles in data quality management. Highlight specific examples where you implemented standards, policies, or best practices that improved data integrity and accuracy.
✨Demonstrate Leadership Skills
Since this role involves leading a team, share your experiences in developing and mentoring team members. Discuss how you've driven performance metrics and fostered a culture of continuous improvement.
✨Understand the Business Context
Research the company’s recent investments in data sources and technology. Be ready to discuss how you can align data quality strategies with their commercial data strategy and compliance needs.
✨Prepare for Technical Questions
Brush up on your knowledge of data governance frameworks, SQL, and data profiling techniques. Be ready to explain how you've used these skills to conduct assessments and resolve data quality issues in the past.
