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- Tasks: Analyse data to generate insights and automate processes using SQL, Power BI, and Python.
- Company: Join the UK's largest water and wastewater company with a focus on sustainability.
- Benefits: Competitive salary, 26-30 days holiday, generous pension, and health benefits.
- Why this job: Make a real impact on communities while developing your analytical skills.
- Qualifications: Experience in data analysis, SQL, and Azure Databricks is essential.
- Other info: Flexible working arrangements and excellent career growth opportunities await you.
The predicted salary is between 48105 - 53000 £ per year.
We're looking for a Senior Data Analyst to join us and support the team as we put new tools, technologies, and analytical techniques into practice. The role will support the delivery of insight and analysis across the UK's largest water and wastewater company, with a real focus on using data to solve practical, real-world problems. For the right person, this is a great opportunity to progress your career by stretching your skills, supporting colleagues, and applying your technical knowledge in a meaningful way. You will be involved in building logic, automating processes, developing reports, and delivering insight, using tools such as SQL, Power BI, Python, and Azure Databricks to drive efficiency and effectiveness across the business.
Responsibilities
- Analysing large and varied data sets from operational, environmental, and external sources to generate clear insight.
- Designing, transforming, and querying databases to support reporting and data-led decision making.
- Building and maintaining dashboards and reports using tools such as Power BI and SQL, Azure Databricks.
- Developing logic and automation to improve efficiency, data quality, and consistency.
- Applying statistical methods and modelling to identify trends, risks, and opportunities.
- Working closely with stakeholders to understand priorities and translate business questions into analytical solutions.
Base location: Kemble Court, Reading (RG2 6AD)
Working hours: 36 hours per week Monday to Friday
Qualifications
- Experience with data pipelines or Azure Databricks is essential.
- Strong experience in data analysis, reporting, and insight generation.
- Solid knowledge of SQL and Power BI, including Power Query.
- Experience working with large, complex data sets and multiple data sources.
- Practical experience using statistical tools or languages such as Python or R.
- The ability to explain data and insight clearly to non-technical audiences.
What's in it for you?
- This role will be paid from £48,105 to £53,000 per annum, depending on skills and experience.
- 26 days holiday per year, increasing to 30 with the length of service. (plus bank holidays)
- Generous Pension Scheme through AON.
- Access to benefits for health, wellbeing, and finances, including annual health MOTs, physiotherapy and counselling, Cycle to Work schemes, shopping vouchers, and life assurance.
- Performance-related pay plan directly linked to company performance measures and targets.
About Us
We're the UK's largest water and wastewater company, with more than 16 million customers relying on us every day. We aim to build a better future for all, helping customers, communities, people, and the planet to thrive. We are committed to being a great, diverse, and inclusive place to work. Thames Water is a unique, rewarding, and diverse place to work, where every day you can make a difference. We offer meaningful career opportunities, flexible working arrangements, and excellent benefits.
If you're looking for a sustainable and successful career where you can make a daily difference to millions of people's lives while helping to protect the world of water for future generations, we'll be here to support you every step of the way. Real purpose, real support, real opportunities. Come and join the Thames Water family.
Senior Data Analyst in London employer: idibu
Contact Detail:
idibu Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Thames Water on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL, Power BI, and Python skills. Be ready to discuss how you've used these tools in real-world scenarios, as they'll want to see your practical experience in action.
✨Tip Number 3
Showcase your problem-solving skills! Think of specific examples where you've turned data into actionable insights. This will demonstrate your ability to tackle real-world challenges, which is key for the Senior Data Analyst role.
✨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 the Thames Water family.
We think you need these skills to ace Senior Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with SQL, Power BI, and Azure Databricks, as well as any relevant projects that showcase your analytical skills. We want to see how you can bring value to our team!
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 your skills align with our mission at Thames Water. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Don’t forget to mention your technical expertise in your application. Whether it's automating processes or using statistical methods, let us know how you've used these skills in real-world scenarios. We’re keen to see your problem-solving abilities in action!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at idibu
✨Know Your Tools Inside Out
Make sure you’re well-versed in SQL, Power BI, Python, and Azure Databricks. Brush up on your skills and be ready to discuss how you've used these tools in past projects. Being able to share specific examples will show that you can apply your technical knowledge effectively.
✨Understand the Business Context
Familiarise yourself with Thames Water's mission and the challenges they face in the water and wastewater sector. Think about how your analytical skills can help solve real-world problems for them. This will demonstrate your genuine interest in the role and the company.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical data-related problems or to explain how you would approach a specific analysis. Practise articulating your thought process clearly, as this will showcase your analytical mindset and ability to communicate complex ideas to non-technical audiences.
✨Showcase Your Collaboration Skills
Since the role involves working closely with stakeholders, be prepared to discuss how you’ve successfully collaborated with others in the past. Highlight any experiences where you translated business questions into analytical solutions, as this will illustrate your ability to bridge the gap between data and decision-making.
