Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Governance & Quality Analyst

Solihull
8 months ago
Applications closed

Related Jobs

View all jobs

Data Quality Analyst

Data Governance & Quality Lead

Data Quality Analyst

Data Engineer

Data Governance Analyst - reinsurance

Data Governance Analyst - reinsurance

Data Governance & Quality Analyst

Solihull based (Hybrid working, in office 2 days per week)

£50K - £60K

This role involves working in a wider Data & BI team but being the sole Data Governance & Quality Analyst within the team and business.

Working for a leading global organisation, they are looking for a data governance expert, engaging with leadership and other key stakeholders in the organisation and external providers to drive adoption of good data management practice across the business.

Role responsibilities:

Work collaboratively across the business functions to implement and drive a suite of Data Governance policies, practices, and procedures to ensure consistency, accuracy, and compliance.
Be the data governance expert, engaging with leadership and other key stakeholders in the wider business and external providers to drive adoption of good data management practice across the business.
Oversee the generation, review and use of metrics associated with data governance and quality assurance to ensure adherence to policies and report findings.
Drive the creation of a metadata repository solution and the improvement of current data and report dictionary solutions.
Embedding a strong data management culture within the organisation by advocating the Data Governance strategy and proactively challenging colleagues.
Attend the data governance board and co-ordinate broader data governance activities.
Work with data owners and stewards to identify data quality challenges and implement data improvement plans.
Continually looking for innovative ways to make improvements based on the latest trends and research.Experience needed:

Can demonstrate experience in a technical data quality related function.
Experience in designing and implementing a process related to data quality assurance oversight.
Experience of designing, analysing an interpreting metrics to identify weaknesses in processes.
Strong stakeholder management skills - demonstrable experience of implementing data governance frameworks and influencing at a senior level to gain buy in and acceptance.
Solid understanding of data quality concepts, standards, and industry best practices.
Proficient in data profiling techniques and data quality assessment methodologies.
Knowledge of data governance frameworks, data stewardship, and data lifecycle management.
Familiarity with data management technologies, databases, and data warehousing concepts.
Understanding of relevant data protection and privacy regulations (e.g., GDPR, CCPA).Please apply asap if interested. Great perks and flexibility in role. GleeIT

Data Governance & Quality Analyst

At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer.

By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.