Data Governance Analyst

Reading
4 months ago
Applications closed

Related Jobs

View all jobs

Data Governance Analyst

Data Governance Analyst, Data Owner, Data Business Analyst,City London

Data Governance Analyst (PIM)

Senior Data Governance Analyst

Data Governance & Quality Analyst

Data Engineer

Data Governance Analyst

Full time position

Location: Reading | Hybrid - 2x days in office

Salary: £47,000 - £71,000 (depending on experience)

As a Data Governance Analyst, you will support the Data Governance Manager in implementing and maintaining the organization's data governance framework. Your role will involve ensuring data quality, consistency, and compliance across various data domains. You will work closely with data owners, data stewards, and IT teams to enforce data governance policies and procedures, and support Master Data Management (MDM) initiatives.

What you'll be doing as a Data Governance Analyst

Assist in developing and articulating the organisation's data governance vision, strategy and roadmap.
Support the activation and enforcement of the data governance program vision.
Collaborate with various stakeholders, including IT teams, business units, and data owners.
Ensure that master data is accurately represented, consistently defined and easily accessible across the organisation.
Provide training and guidance to employees on data governance principles, policies and procedures.
Assist in establishing mechanisms for governance oversight, including regular reviews and audits.
Ensure compliance with data-related regulations and manage data-related risks.
Support the Data Governance Manager in leading and facilitating council meetings, driving decision-making processes and ensuring alignment with organisational objectives.

What you should bring to the role

Strong understanding of data governance principles and practices.
Experience with MDM initiatives.
Familiarity with tools like Azure Purview.
Proficient in data management tools and technologies.
Strong analytical skills.
Experience in agile iterative project management methods.
Experience in big data cloud approaches.

What's in it for you?

Competitive salary between £47,000 - £71,000 per annum depending on experience.
Annual Leave - 26 days holiday per year increasing to 30 with the length of service (plus bank holidays).
Generous Pension Scheme through AON.
Access to lots of benefits to help you take care of you and your family's health and wellbeing, and your finances - from annual health MOTs and access to physiotherapy and counselling to Cycle to Work schemes, shopping vouchers and life assurance

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.

Careers

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

Jobs

What Hiring Managers Look for First in Data Engineering Job Applications (UK Guide)

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.

Education

The Skills Gap in Data Engineering Jobs: What Universities Aren’t Teaching

Data engineering has quietly become one of the most critical roles in the modern technology stack. While data science and AI often receive the spotlight, data engineers are the professionals who design, build and maintain the systems that make data usable at scale. Across the UK, demand for data engineers continues to rise. Organisations in finance, retail, healthcare, government, media and technology all report difficulty hiring candidates with the right skills. Salaries remain strong, and experienced professionals are in short supply. Yet despite this demand, many graduates with degrees in computer science, data science or related disciplines struggle to secure data engineering roles. The reason is not academic ability. It is a persistent skills gap between university education and real-world data engineering work. This article explores that gap in depth: what universities teach well, what they consistently miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data engineering.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.