Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data quality initiatives and design robust processes to enhance data integrity.
- Company: Dynamic company in Eastleigh, offering a hybrid work environment.
- Benefits: Flexible working, generous holiday, health perks, and tech discounts.
- Other info: Join a supportive culture with excellent career growth opportunities.
- Why this job: Make a real impact on data quality while collaborating with innovative teams.
- Qualifications: Strong SQL skills, experience in data governance, and a passion for AI.
The predicted salary is between 65000 - 70000 £ per year.
Target Start Date: Q2 2026
Contract Type: Permanent, Full Time
Salary Range: £65,000 - £70,000
Location: Eastleigh, Hybrid (1x week)
Closing Date for applications: 7th May
Main Responsibilities
- Provide data quality advice and guidance across the business, promoting best practice and pragmatic solutions.
- Design and implement data quality processes, controls and monitoring across our data platforms and enterprise systems.
- Develop data profiling, reporting and monitoring solutions using SQL and Python.
- Collaborate with data owners, stewards and the wider data community to improve trust and quality in critical datasets.
- Curate and maintain key data artefacts such as data catalogues, dictionaries, lineage and asset registers.
- Champion the value of data quality through governance forums, stakeholder engagement and guidance materials.
- Support delivery of the strategic data quality roadmap and key governance outcomes.
- Work with architects and AI teams to ensure high-quality, well-governed data supports scalable data products and GenAI services.
Skills and experience you need
- Strong experience implementing data quality processes and governance frameworks within complex data environments.
- Hands‑on coding capability in SQL, with experience using Python for data manipulation, profiling or automation.
- Experience working with modern cloud data platforms, particularly Databricks.
- Experience profiling datasets and defining data quality rules, controls and monitoring approaches.
- Experience working with data governance frameworks and collaborating with data owners, stewards and governance teams.
- Familiarity with data governance and data management tooling such as Unity Catalog, Collibra or similar.
- Strong stakeholder engagement skills with the ability to influence across technical and non‑technical teams.
- Interest in AI and emerging technologies, and an understanding of how strong data management enables advanced analytics and GenAI.
Qualifications
- DAMA CDMP (Certified Data Management Professional) or equivalent.
- Recognised Data Quality Specialist certification or training.
Desirable
- Experience in the insurance or financial services sector.
- Exposure to data migration or transformation programmes.
Benefits
- Flexible Working: Smart Working anywhere in the UK, part‑time/job‑share options, minimum 35 holiday days.
- Health: Dental insurance, health cash plan, health screening, will writing, voluntary critical illness, mental health first aid, wellbeing activities – mindfulness.
- Wealth: Annual bonus schemes, salary reviews, pension, savings, loans.
- Work: Wellbeing activities, mindfulness sessions, sports and social club events.
- Family: Maternity/paternity leave entitlements.
- Partner: life assurance and critical illness cover.
- Tech: Deals on gadgets, wearables, tablets and laptops.
- Transport: Car salary exchange, cycle scheme, vehicle breakdown cover.
- Back to work: Return to work programme after maternity leave.
Senior Data Quality Analyst in Hampshire employer: Ageas
Contact Detail:
Ageas Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Quality Analyst in Hampshire
✨Network Like a Pro
Get out there and connect with people in the data quality field! Attend industry events, join online forums, and don’t be shy about reaching out on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your hands-on experience with SQL and Python. Share specific examples of how you've implemented data quality processes or improved data governance. We want to see your passion and expertise shine through!
✨Tailor Your Approach
Before any interview, do your homework on the company and its data practices. Tailor your questions and answers to show that you understand their challenges and how you can contribute. We love seeing candidates who are genuinely interested in our mission and values!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else. Let’s get you on board!
We think you need these skills to ace Senior Data Quality Analyst in Hampshire
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Quality Analyst role. Highlight your experience with data quality processes, SQL, and Python. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data quality and how you can contribute to our team. Keep it engaging and relevant to the job description.
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with modern cloud data platforms like Databricks. We love seeing examples of your coding capabilities in SQL and Python, so include any relevant projects or achievements!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status directly!
How to prepare for a job interview at Ageas
✨Know Your Data Quality Inside Out
Make sure you brush up on data quality processes and governance frameworks. Be ready to discuss your hands-on experience with SQL and Python, as well as any specific projects where you've implemented these skills. This will show that you’re not just familiar with the concepts but have practical knowledge too.
✨Showcase Your Collaboration Skills
Since the role involves working with data owners and governance teams, prepare examples of how you've successfully collaborated in the past. Think about times when you influenced stakeholders or improved trust in datasets. This will highlight your ability to engage with both technical and non-technical teams.
✨Familiarise Yourself with Relevant Tools
Get to know tools like Unity Catalog and Collibra, as well as modern cloud platforms like Databricks. If you’ve used them before, be ready to share your experiences. If not, do a bit of research so you can speak confidently about how they fit into data governance and management.
✨Express Your Interest in AI and Emerging Tech
The job mentions an interest in AI and advanced analytics, so be prepared to discuss how strong data management supports these areas. Share any relevant experiences or insights you have about the intersection of data quality and emerging technologies, as this will demonstrate your forward-thinking mindset.