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- Tasks: Transform complex data into clear insights that drive real change.
- Company: Join a forward-thinking company focused on innovation and collaboration.
- Benefits: Competitive salary, 26 days holiday, and opportunities for professional growth.
- Other info: Hybrid work model with excellent career advancement opportunities.
- Why this job: Shape decisions that impact millions while working with cutting-edge tools.
- Qualifications: Experience with large datasets and a passion for problem-solving.
The predicted salary is between 40000 - 45000 £ per year.
Step into a role where your data skills shape decisions that impact millions. We’re looking for a Data Analyst who’s ready to dive into new tools, smarter technologies, and fresh ways of working as we tackle today’s challenges and prepare for tomorrow. From SQL to Power BI to Python, you’ll turn complex data into clear insight that drives real change across Water Networks Operations.
What you’ll be doing as a Data Analyst:
- Working with large data sets drawn from a wide variety of internal and external sources, including environmental data, survey feedback and operational data.
- Design and interrogation of databases; carrying out data transformations and liaising with the business to improve our ways of working.
- Supporting the business and working with stakeholders to design, build, and maintain a range of reports.
- Becoming a key point of contact, collaborating with colleagues, and engaging with stakeholders to further our objectives. You will inform colleagues of operational decisions.
- Maintaining data quality and ensuring data is secure and properly utilised in line with the GDPR.
- Bridge the gap between the business and data, using analytical thinking to solve business problems to generate value, presented through clear presentations and insight.
Location: Hybrid: Kemble Court – RG2 6AD
Working pattern: 36 Hours Monday – Friday (1 day a week in the office every Tuesday)
What you should bring to the role:
- A positive, curious mindset and a natural interest in solving problems with data.
- Experience working with large datasets, databases or reporting, or a strong understanding of how operational data works and the confidence to pick things up quickly.
- A willingness and ability to learn new tools and techniques as you go.
- Experience with some form of query language like TSQL or ANSI SQL.
- Experience with some form of scripting language, like Python or R, is an advantage.
- Experience with a dashboarding software like Power BI or Tableau.
- Familiarity with tools like R, Business Objects, Microsoft Azure services or Microsoft Office is helpful too.
- The ability to explain complex information in a clear, engaging way to different people.
- A degree (or equivalent experience) in an analytical subject such as Science, Maths or Geography is an advantage but not essential.
- Experience using your analytical skills in a business setting and the confidence to work with and support stakeholders.
What’s in it for you?
- Competitive salary up to £45,000 per annum, depending on skills & experience.
- Annual Leave 26 days holiday per year, increasing to 30 with the length of service.
Data Analyst in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. Ask them about their experiences and any tips they might have for landing a role as a Data Analyst with us.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Be ready to discuss SQL, Python, and Power BI. We love seeing candidates who can demonstrate their problem-solving abilities with real-world examples.
✨Tip Number 3
Showcase your analytical thinking! During interviews, explain how you've used data to drive decisions in past roles. We want to see how you bridge the gap between data and business needs.
✨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, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Analyst role. Highlight your experience with SQL, Python, and any dashboarding tools like Power BI. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data and how you can contribute to our team. Keep it engaging and relevant to the job description.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've used data to solve real business problems. We love seeing analytical thinking in action, so don’t hold back on sharing your success stories!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Thames Water Utilities Limited
✨Know Your Data Tools
Make sure you brush up on your SQL, Python, and Power BI skills before the interview. Be ready to discuss how you've used these tools in past projects or roles, as this will show your practical experience and confidence in handling data.
✨Understand the Business Context
Familiarise yourself with the company’s operations and how data impacts their decision-making. Think about how you can bridge the gap between data analysis and business needs, and be prepared to share examples of how you've done this in the past.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems using data. Practice articulating your thought process clearly and logically, as this will demonstrate your analytical thinking and problem-solving skills.
✨Engage with Stakeholders
Show that you can communicate complex data insights effectively. Prepare to discuss how you've collaborated with different teams or stakeholders in previous roles, and think of ways to illustrate your ability to present data in an engaging manner.