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- Tasks: Analyse data to drive decisions and support operations in Water Networks.
- Company: Thames Water Utilities Limited, a leader in water management.
- Benefits: Competitive salary up to £45,000, generous leave, and pension scheme.
- Other info: Hybrid working model with opportunities for career growth.
- Why this job: Make a real impact by shaping decisions with your data skills.
- Qualifications: Experience in SQL and tools like Power BI required.
The predicted salary is between 45000 - 45000 £ per year.
Thames Water Utilities Limited is looking for a Data Analyst who will leverage their data skills to inform decision-making across Water Networks Operations. The successful candidate will work with large datasets, design and interrogate databases, and support stakeholders with reporting.
The role requires experience in SQL and tools like Power BI. This is a full-time position with a competitive salary up to £45,000 and benefits including generous annual leave and a pension scheme.
Data Analyst: Shape Decisions with Data (Hybrid) 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: Shape Decisions with Data (Hybrid) in England
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Thames Water on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data projects, especially those involving SQL and Power BI. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data analysts. We can even do mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight how our skills align with Thames Water's needs.
We think you need these skills to ace Data Analyst: Shape Decisions with Data (Hybrid) in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and data analysis tools like Power BI. We want to see how your skills can shape decisions in a role like this, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and how you can contribute to Thames Water’s mission. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've used data to solve real-world problems. We’re looking for candidates who can not only analyse data but also turn it into actionable insights for stakeholders.
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at Thames Water Utilities Limited
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get familiar with Power BI. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and ability to handle large datasets.
✨Understand the Company’s Operations
Research Thames Water Utilities Limited and their Water Networks Operations. Knowing their challenges and how data can help solve them will impress your interviewers and demonstrate your genuine interest in the role.
✨Prepare for Scenario Questions
Think about potential scenarios where you might need to analyse data to inform decisions. Prepare examples from your previous work where you successfully supported stakeholders with reporting and how your insights made a difference.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready. Ask about the team dynamics, the types of projects you might work on, or how they measure success in the Data Analyst role. This shows you're engaged and thinking ahead.