Senior Data Quality Analyst
Location: Eastleigh, Hybrid (1x week)
Closing Date: 7th May 2026
We are currently looking for a Senior Data Quality Analyst. You will work alongside Data Scientists, Engineers, Architects and Analysts to support the design, build and maintenance of cutting – edge data and AI services, ensuring strong data quality practices are embedded and monitored from the outset. Working closely with our governance leads and collaborating with risk, compliance and privacy teams, you’ll help establish enterprise standards and drive trusted, high‑quality data that powers analytics and AI innovation.
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
- 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 within the UK, including part‑time, job‑share and flexible hours
- Minimum of 35 days holiday (including bank holidays), with ability to buy or sell days
- Dental insurance, health cash plan, health screening, will writing, voluntary critical illness, mental health first aid and wellbeing activities – mindfulness
- Annual bonus scheme, annual salary reviews, competitive pension, employee savings and employee loans
- Well‑being activities, mindfulness sessions, sports and social club events
- Maternity, paternity and childcare related benefits (full pay for 16/8 weeks depending on role)
- Partner life assurance and critical illness cover
- Tech deals on gadgets, wearables, tablets and laptops
- Car salary exchange, cycle scheme and vehicle breakdown cover
- Return to work programme after maternity leave
We are an inclusive employer committed to ensuring fair access and support throughout the recruitment experience. We guarantee an interview to applicants with a disability who meet the minimum criteria for the role. For more information, please see Ageas Everyone.
#J-18808-Ljbffr