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

Apply Now

Data Analyst

Upper Stratton
3 days ago
Create job alert

Ready to make an impact with data? Join Thames Water as a Data Analyst in our Credit Risk Analytics team and help shape smarter, faster decisions that drive real results.

What you’ll be doing as a Data Analyst
You’ll turn complex data into clear, actionable insights, helping to strengthen credit risk strategies and improve how we manage and collect revenue. You’ll play a key part in upgrading our reporting and unlocking smarter ways to track and manage performance. If you enjoy solving problems with data and want your work to make a real difference, this is the role for you. You will:
Lead the development of credit and portfolio MI to support strategy changes through data insight and performance analysis.
Monitor key portfolio data and provide regular reporting, including deep dives to understand trends and variances.
Provide insight to support the Bad Debt Transformation programme, recommending improvements and tracking impact.
Support the transition to a data lake, creating new SQL-driven reporting tools and maintaining strong data governance.
Work closely with stakeholders to promote data-driven decision-making within the Income function.
Act as a subject matter expert in credit risk and collections, shaping and improving strategic execution.Swindon-based, with one office day every Tuesday.

What you should bring to the role
To thrive in this role, the essential criteria you’ll need are:
At least 3 years’ experience in a data analytics role, turning data into real-world results and driving smarter business decisions.
Strong SQL skills – confident in writing efficient queries and building clear, reliable reports.
Great with Excel and other Microsoft Office tools to support everyday analysis and communication.
A natural collaborator – able to work across teams and translate complex data into simple, actionable insights.
Hands-on experience with Power BI and exposure to cloud data platforms like Azure Data Lake, AWS or Google Cloud.
Knowledge of credit risk, utilities, or financial services is a bonus.
A degree (or equivalent experience) in a data-focused subject, with skills in Python or R as a nice-to-have for data modelling and visualisation.What’s in it for you?

Competitive salary from £48,000 to £55,000 per annum.
26 days holiday per year, increasing to 30 days 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 meaningful career opportunities, flexible working arrangements and excellent benefits.

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.

We’re committed to being a great, diverse, and inclusive place to work. We welcome applications from everyone and want to ensure you feel supported throughout the recruitment process. If you need any adjustments, whether that’s extra time, accessible formats, or anything else just let us know, 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 and meet colleagues.

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

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

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.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.