Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain data quality processes while collaborating with Data Scientists and Engineers.
- Company: Join Ageas UK, a leader in data governance and AI.
- Benefits: Enjoy flexible working, generous holidays, and health-related perks.
- Other info: Hybrid role based in Chandler's Ford with great career growth potential.
- Why this job: Make a real impact in data quality and governance within a dynamic team.
- Qualifications: Experience with data governance, strong SQL and Python skills, and cloud platform familiarity.
The predicted salary is between 50000 - 60000 £ per year.
Ageas UK is seeking a Senior Data Quality Analyst based in Chandler's Ford. The role involves designing and maintaining data quality processes while collaborating with Data Scientists and Engineers.
Required skills include:
- Experience with data governance frameworks
- Strong SQL and Python capabilities
- Familiarity with cloud platforms such as Databricks
Benefits include flexible working options, generous holiday allowances, and various health-related benefits.
Senior Data Quality Analyst - Hybrid, Data Governance & AI employer: Ageas UK
Contact Detail:
Ageas UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Quality Analyst - Hybrid, Data Governance & AI
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Ageas UK on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with data governance frameworks, SQL, and Python. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data quality and governance. We can even do mock interviews together to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to match what Ageas UK is looking for.
We think you need these skills to ace Senior Data Quality Analyst - Hybrid, Data Governance & AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data governance frameworks and your SQL and Python skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Senior Data Quality Analyst position and how you can contribute to our team. Let us know what makes you tick in the world of data!
Showcase Your Collaboration Skills: Since this role involves working closely with Data Scientists and Engineers, highlight any past experiences where you’ve successfully collaborated on projects. We love seeing teamwork in action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Ageas UK
✨Know Your Data Governance Frameworks
Make sure you brush up on your knowledge of data governance frameworks before the interview. Be ready to discuss how you've implemented these in past roles and how they can benefit Ageas UK. This shows that you understand the importance of data quality in a collaborative environment.
✨Show Off Your SQL and Python Skills
Prepare to demonstrate your SQL and Python capabilities during the interview. You might be asked to solve a problem or explain how you've used these skills in previous projects. Practising some common queries or coding challenges can really help you shine!
✨Familiarise Yourself with Databricks
Since familiarity with cloud platforms like Databricks is essential, take some time to explore its features and functionalities. Being able to discuss how you've used Databricks or similar tools will show that you're ready to hit the ground running in this role.
✨Emphasise Collaboration
As the role involves working closely with Data Scientists and Engineers, be prepared to talk about your experience in collaborative projects. Share examples of how you've successfully worked in teams to improve data quality and drive results, as this will resonate well with the interviewers.