At a Glance
- Tasks: Analyse datasets and create visualisations while collaborating with diverse teams.
- Company: Leading utility company in the UK with a focus on innovation.
- Benefits: 25 days holiday, bonus scheme, and dedicated training development.
- Why this job: Kickstart your career as a Data Analyst and make a real impact.
- Qualifications: Level 3 qualifications and strong analytical thinking skills required.
- Other info: 24-month apprenticeship with excellent growth opportunities in Coventry.
The predicted salary is between 800 - 1400 £ per month.
A leading utility company in the UK is seeking an Apprentice Data Analyst for a 24-month program based in Coventry. The role involves analyzing datasets, creating visualizations, and working collaboratively across teams.
Candidates should possess Level 3 qualifications and demonstrate strong curiosity, analytical thinking, and communication skills.
Benefits include 25 days holiday, a bonus scheme, and dedicated training development. This position offers a starting salary of £22,500.
Data Analyst Apprentice (Level 4) – Learn & Build Impact in Coventry employer: Severn Trent
Contact Detail:
Severn Trent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst Apprentice (Level 4) – Learn & Build Impact in Coventry
✨Tip Number 1
Network like a pro! Reach out to current or former employees on LinkedIn and ask about their experiences. This can give you insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by practising common data analysis questions. We recommend using real datasets to showcase your skills in visualisation and analysis during the interview.
✨Tip Number 3
Show your curiosity! During interviews, ask insightful questions about the company’s data practices and how they use analytics to drive decisions. This shows you're genuinely interested.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and you’re considered for this exciting opportunity.
We think you need these skills to ace Data Analyst Apprentice (Level 4) – Learn & Build Impact in Coventry
Some tips for your application 🫡
Show Your Curiosity: We want to see your passion for data! In your application, highlight any projects or experiences where you've explored datasets or solved problems. Let us know what excites you about data analysis!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon. We appreciate a well-structured application that gets straight to the point while showcasing your skills.
Tailor Your Application: Make sure to customise your application for this role. Mention how your Level 3 qualifications and experiences align with the responsibilities of a Data Analyst Apprentice. Show us why you're the perfect fit!
Apply Through Our Website: To make sure your application gets to us, apply directly through our website. It’s the easiest way for us to review your details and get back to you. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Severn Trent
✨Know Your Data
Before the interview, brush up on your data analysis skills. Familiarise yourself with common tools and techniques used in the industry, such as Excel, SQL, or data visualisation software. Being able to discuss these confidently will show your genuine interest and readiness for the role.
✨Show Your Curiosity
During the interview, demonstrate your curiosity by asking insightful questions about the datasets you might be working with. This could include inquiries about the types of data the company collects or how they use data to drive decisions. It shows that you're not just looking for a job, but are eager to learn and contribute.
✨Communicate Clearly
As a Data Analyst Apprentice, you'll need to communicate complex information clearly. Practice explaining your past projects or experiences in simple terms. Use examples that highlight your analytical thinking and teamwork skills, as collaboration is key in this role.
✨Prepare for Scenario Questions
Expect scenario-based questions where you might need to analyse a dataset or solve a problem on the spot. Practise these types of questions beforehand. Think about how you would approach a dataset, what tools you would use, and how you would present your findings to a team.