Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: You'll validate, profile, and cleanse data to ensure accuracy and reliability.
- Company: Join a leading public sector organisation driving significant IT transformation.
- Benefits: Enjoy a competitive salary, excellent benefits, and hybrid working options.
- Why this job: Make a real impact on data management while collaborating with diverse teams.
- Qualifications: Experience in data validation, T-SQL, and GDPR awareness is essential.
- Other info: Work remotely with one day on-site in Gloucester each week.
The predicted salary is between 30000 - 36000 £ per year.
Data Quality Analyst Permanent Location: Home / Gloucester (on site once a week) Salary: £30,000 – £36,000 (+ excellent benefits) Skills: T-SQL, Data Quality, GDPR We are looking to recruit a Data Quality Analyst for a leading public sector organisation undergoing a significant IT transformation. In this role, you\’ll focus on data validation, profiling, and cleansing, helping ensure that information across core systems is accurate, complete, and reliable. You\’ll work across multiple teams to enhance how data is managed and reported, supporting the organisation\’s operational and strategic goals. This is a hybrid role and you will be required to work on site in Gloucester once a week. What you\’ll be doing: Investigating data inconsistencies and applying corrections to improve accuracy and completeness Writing T-SQL queries to interrogate and validate data Working closely with stakeholders to ensure data quality standards are met Contributing to root cause analysis and helping define long-term improvements Supporting quality assurance processes by maintaining documentation such as data dictionaries and audit trailsWhat we\’re looking for: Strong experience in data validation, cleansing, and profiling Confident in writing T-SQL queries for data analysis Awareness of GDPR, data protection, and information security Ability to communicate complex data issues clearly to technical and non-technical audiences A logical, analytical approach and attention to detail Experience with records management systems is desirable
Data Quality Analyst employer: Data Careers Ltd
Contact Detail:
Data Careers Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Analyst
✨Tip Number 1
Familiarise yourself with T-SQL and practice writing queries that focus on data validation and cleansing. Consider creating sample datasets to test your skills, as this will help you demonstrate your technical abilities during interviews.
✨Tip Number 2
Brush up on GDPR regulations and data protection principles. Being able to discuss how these laws impact data quality and management will show your potential employer that you understand the importance of compliance in your role.
✨Tip Number 3
Network with professionals in the data quality field, especially those who work in the public sector. Engaging with industry groups or attending relevant webinars can provide insights into best practices and may even lead to job referrals.
✨Tip Number 4
Prepare to discuss specific examples of how you've improved data quality in previous roles. Be ready to explain your analytical approach and how you communicated complex data issues to both technical and non-technical stakeholders.
We think you need these skills to ace Data Quality Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data validation, cleansing, and profiling. Include specific examples of T-SQL queries you've written and any relevant projects that demonstrate your skills in data quality.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the organisation. Discuss how your background aligns with their needs, particularly your understanding of GDPR and your ability to communicate complex data issues.
Showcase Relevant Skills: When detailing your skills, emphasise your proficiency in T-SQL and your experience with data quality standards. Mention any tools or methodologies you’ve used for data profiling and cleansing.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or inconsistencies. A well-presented application reflects your attention to detail, which is crucial for a Data Quality Analyst.
How to prepare for a job interview at Data Careers Ltd
✨Showcase Your T-SQL Skills
Be prepared to discuss your experience with T-SQL. You might be asked to write a query on the spot, so brush up on your skills and be ready to explain your thought process while doing so.
✨Understand Data Quality Principles
Familiarise yourself with data quality concepts such as validation, profiling, and cleansing. Be ready to provide examples of how you've applied these principles in previous roles.
✨Communicate Clearly
Since you'll need to explain complex data issues to both technical and non-technical audiences, practice articulating your thoughts clearly. Use simple language to describe your past experiences and how you resolved data inconsistencies.
✨Know Your GDPR Basics
As GDPR awareness is crucial for this role, ensure you understand its key principles. Be prepared to discuss how you would handle data protection and security in your work as a Data Quality Analyst.
