Job title: Data Analyst Ref 41500. Division: Retail. Location: Hybrid - Walnut Court - SN2 8BN. Contract type: Permanent. Full/Part-time: Full-time. Hours: 36 hours per week. Salary: Offering an annual salary between £48,000 - £55,000 depending on experience.

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.

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.

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.

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, we’re here to help and support.

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.