Data Governance Analyst

Reading
9 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Analyst

Data Analyst - Sc cleared

Data Analyst

Data Analyst

Data Analyst

Data Analyst

As a Data Governance Analyst, you will support the Data Governance Manager in implementing and maintaining the organisation'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.Base Location: Reading - Hybrid.
Working Pattern: 36 Hours.

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 £45,000 and £55,000 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.Find out more about our benefits and perks

Who are we?
We’re the UK’s largest water and wastewater company, with more than 16 million customers relying on us every day to supply water for their taps and toilets. We want to build a better future for all, helping our customers, communities, people and the planet to thrive. It’s a big job and we’ve got a long way to go, so we need help from passionate and skilled people, committed to making a difference and getting us to where we want to be in the years and decades to come.

Learn more about our purpose and values

Working at Thames Water
Thames Water is a unique, rewarding and diverse place to work, where every day you can make a difference, yet no day is the same. As part of our family, you’ll enjoy fast-tracked career opportunities, flexible working arrangements and excellent benefits.

Whether you’re interested in a role in one of our call centres or science labs, we’re looking for people like you with real passion and a burning desire to make things better.

So, if you’re looking for a sustainable and successful career where you can make a daily difference to millions of people’s lives while helping to protect the world of water for future generations, we’ll be here to support you every step of the way. Together, we can build a better future for our customers, our region and our planet.

Real purpose, real support, real opportunities. Come and join the Thames Water family. Why choose us? Learn more.

Our overarching aim is to ensure that Thames Water is a great, diverse and inclusive place to work. We welcome applications from everyone and offer extra support for those who need it throughout the recruitment process. Our aim is to remove any real or perceived barriers to success, so if you need assistance, we’re here to help and support.

When a crisis happens, we all rally around to support our customers. As part of Team Thames, you’ll have the opportunity to sign up to support our customers on the frontline as an ambassador. Full training will be given for what is undoubtedly an incredibly rewarding experience. It’s also a great opportunity to learn more about our business, meet colleagues and earn some extra money along the way.

Disclaimer: Due to the high volume of applications we receive, we may close the advert earlier than the advertised date, so we encourage you to apply as soon as possible to avoid disappointment

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 Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 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.