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- Tasks: Lead the delivery of our data quality strategy and drive continuous improvement.
- Company: Join Ageas, a top employer in the UK insurance sector.
- Benefits: Enjoy flexible working, competitive salary, and extensive health benefits.
- Why this job: Make a real impact on data quality and support transformation programmes.
- Qualifications: 5+ years in data roles with strong SQL and data quality tool experience.
- Other info: Dynamic team culture with excellent career growth opportunities.
The predicted salary is between 54400 - 65000 £ per year.
Job Title: Senior Data Quality Analyst
Target Start Date: Q1 2026
Contract Type: Permanent, Full Time
Salary Range: £54,400 – £81,600 depending on experience
Location: Eastleigh, Hybrid (1x week)
Closing Date for applications: 17th December
Senior Data Quality Analyst
We’re building a new Data Quality team within our Enterprise Data Services function, and we’re looking for a highly skilled and motivated Senior Data Quality Analyst to help lead the delivery of our data quality strategy and manage a growing team. This is a fantastic opportunity to play a pivotal role in embedding best practices, driving continuous improvement, and supporting transformation programmes across Ageas.
This role offers potential to develop into a Data Quality Lead position as the team and function mature.
Main Responsibilities
- Provide leadership and direction to the Data Quality team, fostering a culture of collaboration, accountability, and data excellence.
- Lead the execution of the Ageas Data Quality Strategy.
- Deliver high‑quality, consistent, and measurable data quality services across the organisation.
- Collaborate with stakeholders to align data quality activities with business goals and our Enterprise Data Strategy.
- Inform the development and maintenance of the Data Quality roadmap by providing insights from operational experience and project delivery.
- Monitor and report on Data Quality KPIs, identifying trends and opportunities for improvement.
- Lead components of the implementation and optimisation of data quality tooling, ensuring effective roll‑out of the tool and adoption of ways of working.
- Act as a subject matter expert, guiding Data Stewards, Data Managers, and business users.
- Lead issue‑management processes and contribute to continuous improvement initiatives.
- Provide training and coaching to junior team members and stakeholders.
- Support transformation programmes including data migration, integration, and consolidation.
- Promote a culture of collaboration, accountability, and data excellence.
Skills and Experience
- Proven leadership experience, including managing and developing a team within a large enterprise environment.
- 5+ years in a data‑focused role, with at least 1 year of hands‑on experience in data quality.
- Proven ability to work independently and lead the delivery of data initiatives.
- Experience working with data quality tools and ideally Collibra.
- Hands‑on experience managing live data migrations, ensuring data integrity and business continuity.
- Strong SQL skills and familiarity with Python for data analysis and automation.
- Strong knowledge of Data Governance best‑practice and how it compliments Data Quality operations and processes.
- Experience working with Snowflake and Databricks platforms.
- A proactive mindset with the confidence to challenge existing processes and drive improvement.
- Excellent communication and stakeholder engagement skills.
- Experience in Agile/Scrum environments.
Qualifications
- DAMA CDMP (Certified Data Management Professional) or equivalent.
- Recognised Data Quality Specialist certification or training.
- Experience in the insurance or financial services sector.
- Exposure to data migration or transformation programmes.
Benefits
Flexible Working
Smart Working @ Ageas gives employees flexibility around location (as long as it’s within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part‑time/job‑shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days.
Supporting your Health
Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities – Mindfulness.
Supporting your Wealth
Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans.
Supporting you at Work
Well‑being activities, mindfulness sessions, Sports and Social Club events and more.
Supporting you and your Family
Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non‑pregnant parent/co‑adopter at 8 weeks’ full pay.
Benefits for Them
Partner Life Assurance and Critical Illness cover.
Get some Tech
Deals on various gadgets including Wearables, Tablets and Laptops.
Getting around
Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover.
Supporting you back to work
Return‑to work programme after maternity leave.
About Ageas
We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.
As an inclusive employer, we encourage anyone to apply. We’re a signatory of Race at Work Charter and Women in Finance Charter, member of iCAN and GAIN. As a Disability Confident Leader, we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruitment experience. If the list does not cover the support you need, please contact our Recruitment Team to discuss how they can help. We also guarantee an interview for applicants with a disability who meet the minimum criteria for the role. For more information, please see Ageas Everyone.
We have a zero‑tolerance approach towards any form of harassment during the recruitment process, ensuring that everyone is treated with respect and professionalism.
Our aim is to have great people everywhere in our business and we’re always looking for outstanding people to join us. Most roles across Ageas allow a proportion of your time to be spent working from home and we’re open to discussing flexible working, including full‑time, part‑time or job share arrangements. To find out more about Ageas, see About Us.
Want to be part of a Winning Team? Come and join Ageas. Click on the ‘Apply button’ to be considered.
Important Notice – Recruitment Scam Alert
We are aware of fraudulent activity whereby individuals are being contacted with fake job offers claiming to be from Ageas, often for remote roles such as Administrative Assistants. These scams may include offers of high hourly pay and requests for upfront payments or deposits. Please be aware that Ageas will never ask for money at any stage of the recruitment process. Ageas will always ask you to make an application via our Company Websites and all legitimate Ageas job opportunities are listed on our official careers pages within. Communication will only come from verified Ageas email addresses and if you are unsure about the legitimacy of a job offer or communications you are receiving, please contact recruitment@ageas.co.uk with the subject FRAUD.
You can view the Ageas Group Applicant Privacy Policy here.
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Senior Data Quality Analyst employer: Ageas
Contact Detail:
Ageas Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Quality Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections in the data world, especially those who work at Ageas or similar companies. A friendly chat can open doors and give you insider info on the role.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and Python skills. Be ready to showcase how you've tackled data quality issues in the past. We want to see your problem-solving skills in action!
✨Tip Number 3
Show off your passion for data quality! During interviews, share examples of how you've driven improvements in previous roles. We love candidates who can demonstrate their commitment to excellence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team at Ageas.
We think you need these skills to ace Senior Data Quality Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Quality Analyst role. Highlight your relevant experience, especially in data quality and governance, and don’t forget to mention any tools you’ve used like Collibra or SQL.
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 your skills align with our goals at Ageas. Be sure to mention any specific projects that showcase your expertise.
Showcase Your Achievements: When detailing your experience, focus on achievements rather than just responsibilities. Use metrics where possible to demonstrate how you’ve improved data quality or driven initiatives in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way to ensure your application gets to us directly and is considered promptly!
How to prepare for a job interview at Ageas
✨Know Your Data Quality Tools
Make sure you’re well-versed in the data quality tools mentioned in the job description, especially Collibra. Brush up on your SQL skills and be ready to discuss how you've used these tools in past roles to improve data quality.
✨Showcase Your Experience
With 5+ years in a data-focused role, you’ll want to highlight specific projects where you led data quality initiatives. Prepare examples that demonstrate your ability to drive improvements and align data quality activities with business goals.
✨Engage with Stakeholders
Since collaboration is key, think of ways you’ve successfully engaged with stakeholders in previous roles. Be ready to share how you’ve communicated data quality issues and solutions effectively to non-technical audiences.
✨Emphasise Continuous Improvement
Prepare to discuss your proactive mindset and how you’ve challenged existing processes in the past. Think of specific instances where you identified trends or opportunities for improvement in data quality and how you implemented changes.