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- Tasks: Support teams with data insights and tackle challenges using analytics.
- Company: Major UK water company focused on performance and risk management.
- Benefits: Competitive salary, holidays, pension scheme, and more.
- Why this job: Make a real difference by providing data-driven solutions in a vital industry.
- Qualifications: Strong analytical skills with experience in Excel, SQL, and Power BI.
- Other info: Join a dynamic team and grow your career in data analysis.
The predicted salary is between 36000 - 60000 £ per year.
A major UK water company is looking for a Performance and Risk Data Analyst. In this role, you will support frontline teams with data insights and help address current challenges.
Key responsibilities include:
- Maintaining data models for decision-making
- Applying statistical methods
- Collaborating with operational teams
Candidates should have a strong analytical background with essential skills in Excel, SQL, and Power BI. The position offers a competitive salary and various benefits, including holidays and a pension scheme.
Performance & Risk Data Analyst - 1-Year Contract in Reading employer: Thames Water
Contact Detail:
Thames Water Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Performance & Risk Data Analyst - 1-Year Contract in Reading
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in data analysis or at the company you're eyeing. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical projects, especially those involving Excel, SQL, and Power BI. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on common data analysis scenarios. Think about how you would tackle real-world problems using data insights. We want you to be ready to impress with your analytical thinking!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Performance & Risk Data Analyst - 1-Year Contract in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical skills and experience with Excel, SQL, and Power BI. We want to see how your background aligns with the role of a Performance & Risk Data Analyst, so don’t be shy about 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 analysis and how you can support frontline teams. We love seeing candidates who can connect their skills to our mission.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges using data insights. We’re looking for someone who can maintain data models and apply statistical methods, so share any relevant experiences that demonstrate these abilities.
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 to do!
How to prepare for a job interview at Thames Water
✨Know Your Data Tools
Make sure you brush up on your Excel, SQL, and Power BI skills before the interview. Be ready to discuss how you've used these tools in past roles to analyse data and support decision-making.
✨Understand the Company’s Challenges
Research the major challenges faced by the water industry, especially those related to performance and risk. This will help you demonstrate your understanding of the role and how you can contribute to solving these issues.
✨Prepare for Scenario Questions
Expect questions that ask you to apply statistical methods to real-world scenarios. Think of examples from your experience where you’ve successfully used data insights to influence decisions or improve processes.
✨Show Your Collaborative Spirit
Since the role involves working with operational teams, be prepared to discuss how you’ve collaborated with others in the past. Highlight any experiences where teamwork led to successful outcomes, especially in data-driven projects.
