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- Tasks: Gain hands-on experience in data management and analytics while working on real projects.
- Company: Leading water utility company in the North West of England with a strong commitment to development.
- Benefits: Starting salary of £20,000, dedicated mentor, and potential for a permanent role.
- Why this job: Kickstart your career in data analysis with a supportive team and real-world impact.
- Qualifications: 5 GCSEs including Maths and English, plus a Level 3 qualification with 48 UCAS points.
- Other info: 24-month apprenticeship with excellent career progression opportunities.
The predicted salary is between 1200 - 1400 £ per month.
A leading water utility company in the North West of England is looking for an Apprentice Data Analyst. This 24-month apprenticeship will provide you with hands-on experience in data management and analytics.
Candidates must have:
- 5 GCSEs including Maths and English
- A Level 3 qualification totaling 48 UCAS points
Enjoy a starting salary of £20,000, a dedicated mentor, and the opportunity for a permanent position upon successful completion of the program.
Apprentice Data Analyst (PMO) – Mentored Path to Permanent Role employer: United Utilities
Contact Detail:
United Utilities Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Apprentice Data Analyst (PMO) – Mentored Path to Permanent Role
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the company on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by practising common questions. We can role-play with friends or family to boost our confidence and nail those responses.
✨Tip Number 3
Show off your passion for data! Bring examples of projects or coursework that highlight your skills. We want to demonstrate how keen we are to learn and grow in this field.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of our progress and any updates directly from there.
We think you need these skills to ace Apprentice Data Analyst (PMO) – Mentored Path to Permanent Role
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your GCSEs and any relevant qualifications in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your achievements!
Tailor Your Application: Take a moment to customise your application for the Apprentice Data Analyst position. Mention why you’re excited about working in data management and analytics specifically within the water utility sector.
Be Yourself: Let your personality shine through in your written application. We’re looking for someone who fits our culture, so don’t be afraid to express your enthusiasm and passion for the role!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently, plus you’ll find all the details you need there!
How to prepare for a job interview at United Utilities
✨Know Your Numbers
As an Apprentice Data Analyst, you'll be working with data all the time. Brush up on your maths skills and be ready to discuss how you've used data in past projects or studies. This shows your analytical mindset and readiness for the role.
✨Research the Company
Familiarise yourself with the water utility company’s mission, values, and recent projects. Understanding their operations will help you tailor your answers and demonstrate genuine interest in the role and the industry.
✨Prepare Questions
Interviews are a two-way street! Prepare thoughtful questions about the apprenticeship, mentorship opportunities, and potential career paths. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
✨Showcase Your Qualifications
Make sure to highlight your GCSEs and Level 3 qualifications during the interview. Be ready to explain how your educational background has prepared you for this role, especially in terms of data management and analytics.
