Senior Data Quality Analyst

Ageas Insurance Limited
Chandlers Ford, United Kingdom
2 weeks ago
£65,000 – £70,000 pa
Applications closed

Related Jobs

View all jobs

Senior Data and Insights Analyst

RG Setsquare Essex, United Kingdom
£58,231 pa Permanent

Senior Data analyst

Pontoon Bromley, London, United Kingdom
Hybrid

Senior Data Engineer

Hays Technology Abingdon, OX14 5BH, United Kingdom

Data Analyst/Manager

Coulter Elite Resourcing Peterborough, PE1 1XH, United Kingdom

Junior Data Engineer

Hays Technology London, United Kingdom
£310 pd

Strategic Performance and Insights Partner

South Yorkshire Fire & Rescue Sheffield, South Yorkshire, United Kingdom
£36,363 – £39,152 pa On-site

Salary

£65,000 – £70,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Senior
Education
Degree
Posted
30 Apr 2026 (2 weeks ago)

Benefits

35 days holiday (inc. bank holidays) Flexible working (Smart Working @ Ageas) Dental insurance Health cash plan Health screening Will writing Voluntary critical illness Mental health first aiders Well-being activities (mindfulness) Annual bonus schemes Competitive pension Employee savings Employee loans Sports and social club events Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay Paternity/non-pregnant parent/co-adopter at 8 weeks’

Job Title: Senior Data Quality Analyst
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

Senior Data Quality Analyst: 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 as Senior Data Quality Analyst:

  • 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 as Senior Data Quality Analyst:

  • 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.

At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve,Top Employer status in the UK.

Here are some of the benefits you can enjoy at Ageas:

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 Peoplehelp 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 theRace at Work Charter andWomen in Finance Charter, member ofiCAN andGAIN. As aDisability 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 tosupport and adjustments throughout your recruit

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

New Data Science Employers to Watch in 2026: a UK and international shortlist of analytics and AI companies hiring data scientists, ML engineers and analysts. Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.