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- Tasks: Dive into data analysis and support decision-making for the UK's largest water provider.
- Company: Join Thames Water, a leader in water and wastewater services.
- Benefits: Enjoy a competitive salary, generous holiday, and hybrid working options.
- Why this job: Kick-start your career with hands-on experience and impactful insights.
- Qualifications: GCSE Maths and English, plus A-Levels or Level 3 qualification.
- Other info: Gain a Level 4 Data Analyst qualification while working in a dynamic team.
The predicted salary is between 800 - 1400 £ per month.
Kick‑start your Data Analysis career with Thames Water. Join us as a Data Analyst Apprentice and support the UK’s largest water and wastewater provider. You’ll gain hands‑on experience delivering accurate reporting, analysis, and insights that help drive decision‑making across Customer Service, Financial Customer Care, Wholesale, and wider business teams contributing to services that millions rely on.
What you’ll be doing as a Data Analyst Apprentice:
- Analysis – Provide operational data exploration and interpretation to support business needs.
- Impact – Deliver information that helps colleagues and managers understand and resolve operational problems.
- Insight from Metrics – Produce daily reporting and analysis to monitor performance and trends.
- Influencing and Impact – Support conversations and decision‑making by presenting data‑focused insights.
- Gathering Data – Ensure reporting processes run smoothly so stakeholders receive timely and accurate reports.
- Report Build – Create and maintain consolidated reports across multiple business areas.
- Insight Development – Assist in preparing insights from data analysis to identify skills gaps or broken processes and procedures.
- Cross‑Functional Working – Collaborate with managers and departments to capture data effectively for both regular and ad‑hoc reporting needs.
Where you will work:
- Location: Clearwater Court, Reading RG1 8DB – Hybrid
- Hours: 36 hours a week across four working days plus one off‑the‑job training day
- Start date: Sept 2026
Training and qualification:
You’ll study with Firebrand, one of the UK’s leading data analyst training providers. Your training includes a mix and blend of virtual learning and periodic residential block release at their dedicated training centre in Bedford where accommodation will be provided.
Qualification: Data Analyst Level 4 Standard – You will gain EPAO - CABWI
Duration: Permanent contract with a 16–24‑month structured programme.
What you should bring to the role:
- Has GCSE Maths and English (grade 9-4 / A-C)
- 3 A-Levels grade A-C or a Level 3 qualification in a relatable subject (Apprenticeship/BTEC)
- Strong attention to detail and accuracy.
- Works well in a team but is also confident working independently.
- Is passionate about learning and aligned with Thames Water’s goals for the future.
What’s in it for you?
Excellent salary: £22,500 Annual Leave: 24 days holiday per year increasing to 28 with the length of service.
Data Analyst Level 4 Apprentice in London employer: idibu
Contact Detail:
idibu Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst Level 4 Apprentice in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Thames Water on LinkedIn. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by practising common data analysis questions. We recommend using real-world examples from your studies or projects to showcase your skills.
✨Tip Number 3
Show your passion for data! During interviews, share why you love data analysis and how it can impact decision-making. Let your enthusiasm shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Data Analyst Level 4 Apprentice in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Analyst Apprentice role. Highlight your relevant skills and experiences that align with what Thames Water is looking for, like data analysis and teamwork.
Show Your Passion: Let us see your enthusiasm for data analysis! Share any projects or experiences that demonstrate your interest in the field and how they relate to Thames Water’s goals. A little passion goes a long way!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon. We want to understand your skills and experiences without having to decipher complex sentences.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way to ensure we receive your details directly and can consider you for this exciting opportunity at Thames Water.
How to prepare for a job interview at idibu
✨Know Your Data
Before the interview, brush up on key data analysis concepts and tools relevant to the role. Familiarise yourself with common metrics and reporting techniques that Thames Water might use. This will show your enthusiasm and readiness to dive into the data.
✨Prepare Real-World Examples
Think of specific instances where you've used data to solve problems or provide insights. Whether it's a project from school or a personal endeavour, having concrete examples will help you demonstrate your analytical skills and how they can benefit the team.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company. Inquire about the types of data you'll be working with or how the team collaborates across departments. This not only shows your interest but also helps you gauge if the role is the right fit for you.
✨Show Your Passion for Learning
Thames Water values individuals who are eager to learn and grow. Be ready to discuss how you stay updated with industry trends or any additional training you've pursued. Highlighting your commitment to continuous improvement will resonate well with the interviewers.
