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- Tasks: Transform complex data into clear insights that drive real change.
- Company: Join a diverse and inclusive team at a leading water operations company.
- Benefits: Competitive salary, generous annual leave, and health benefits.
- Other info: Hybrid working model with excellent career growth opportunities.
- Why this job: Shape decisions impacting millions while developing your data skills.
- Qualifications: Experience with large datasets and a passion for problem-solving.
The predicted salary is between 40000 - 45000 £ per year.
Step into a role where your data skills shape decisions that impact millions. We’re looking for a Data Analyst who’s ready to dive into new tools, smarter technologies, and fresh ways of working as we tackle today’s challenges and prepare for tomorrow. From SQL to Power BI to Python, you’ll turn complex data into clear insight that drives real change across Water Networks Operations.
What you’ll be doing as a Data Analyst:
- Working with large data sets drawn from a wide variety of internal and external sources, including environmental data, survey feedback and operational data.
- Design and interrogation of databases; carrying out data transformations and liaising with the business to improve our ways of working.
- Supporting the business and working with stakeholders to design, build, and maintain a range of reports.
- Becoming a key point of contact, collaborating with colleagues, and engaging with stakeholders to further our objectives. You will inform colleagues of operational decisions.
- Maintaining data quality and ensuring data is secure and properly utilised in line with the GDPR.
- Bridge the gap between the business and data, using analytical thinking to solve business problems to generate value, presented through clear presentations and insight.
Location: Hybrid: Kemble Court – RG2 6AD
Working pattern: 36 Hours Monday – Friday (1 day a week in the office every Tuesday)
What you should bring to the role:
- A positive, curious mindset and a natural interest in solving problems with data.
- Experience working with large datasets, databases or reporting, or a strong understanding of how operational data works and the confidence to pick things up quickly.
- A willingness and ability to learn new tools and techniques as you go.
- Experience with some form of query language like TSQL or ANSI SQL.
- Experience with some form of scripting language, like Python or R, is an advantage.
- Experience with a dashboarding software like Power BI or Tableau.
- Familiarity with tools like R, Business Objects, Microsoft Azure services or Microsoft Office is helpful too.
- The ability to explain complex information in a clear, engaging way to different people.
- A degree (or equivalent experience) in an analytical subject such as Science, Maths or Geography is an advantage but not essential.
- Experience using your analytical skills in a business setting and the confidence to work with and support stakeholders.
What’s in it for you?
- Competitive salary up to £45,000 per annum, depending on skills & experience.
- Annual Leave 26 days holiday per year, increasing to 30 with the length of service (plus bank holidays).
- Performance‑related pay plan directly linked to company performance measures and targets.
- Generous Pension Scheme through AON.
- Access to benefits to help you take care of yourself 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 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.
Data Analyst in England employer: Thames Water Utilities Limited
Contact Detail:
Thames Water Utilities Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in England
✨Tip Number 1
Network like a pro! Reach out to current employees or connections in the industry. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Prepare for those interviews by practising common data analyst questions. Get comfy with explaining your thought process on data problems and how you've tackled them in the past. Confidence is key!
✨Tip Number 3
Show off your skills! Create a portfolio showcasing your best work with data visualisations or projects. This gives you a chance to demonstrate your abilities beyond just words on a CV.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Analyst in England
Some tips for your application 🫡
Show Off Your Data Skills: When you're writing your application, make sure to highlight your experience with data tools like SQL, Power BI, and Python. We want to see how you've used these skills to solve real problems, so don’t hold back!
Be Clear and Concise: We love a good story, but keep it relevant! Use clear language to explain your experiences and how they relate to the role. Remember, you’re bridging the gap between data and business, so clarity is key.
Tailor Your Application: Don’t just send the same application everywhere. Take a moment to tailor your CV and cover letter to this specific role. Mention how your background aligns with our needs in Asset Operations & Capital Delivery.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Thames Water Utilities Limited
✨Know Your Data Tools
Familiarise yourself with the tools mentioned in the job description, like SQL, Power BI, and Python. Be ready to discuss your experience with these technologies and how you've used them to solve real-world problems.
✨Prepare for Scenario Questions
Expect questions that ask you to demonstrate your analytical thinking. Prepare examples where you've worked with large datasets or transformed data into actionable insights. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Showcase Your Communication Skills
As a Data Analyst, you'll need to explain complex information clearly. Practice summarising your past projects in a way that's engaging and easy to understand. Think about how you can bridge the gap between technical data and business needs.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready. Inquire about the team dynamics, the types of projects you'll be working on, or how they measure success in the role. This shows your genuine interest and helps you assess if it's the right fit for you.