Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse smart meter data to drive water efficiency initiatives and generate insights.
- Company: Leading water management company in the UK with a focus on sustainability.
- Benefits: Competitive salary, extensive pension scheme, holiday allowance, and health resources.
- Why this job: Make a real impact on water efficiency while working with innovative technologies.
- Qualifications: Experience with SQL, Python, and data visualisation tools like Power BI.
- Other info: Hybrid role offering a dynamic work environment and growth opportunities.
The predicted salary is between 45000 - 55000 £ per year.
A leading water management company in the UK is seeking a Customer Demand Specialist to analyze smart meter data and drive water efficiency initiatives. The role involves utilizing SQL and Python to generate insights, build predictive models, and visualize data using tools like Power BI.
The position is hybrid, offering competitive pay between £45,000 and £55,000 per annum, along with generous benefits including an extensive pension scheme, holiday allowance, and various health and wellbeing resources.
Water Demand Analytics Specialist in London employer: idibu
Contact Detail:
idibu Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Water Demand Analytics Specialist in London
✨Tip Number 1
Network like a pro! Reach out to folks in the water management sector on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects, especially those related to data analysis and visualisation. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to data analytics and water efficiency. We recommend practising your answers with a friend or in front of the mirror to boost your confidence.
✨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 are proactive about their job search.
We think you need these skills to ace Water Demand Analytics Specialist in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL and Python in your application. We want to see how you've used these tools to generate insights or build predictive models in the past.
Be Data-Driven: Since this role is all about analysing smart meter data, include specific examples of how you've worked with data visualisation tools like Power BI. We love seeing how you can turn data into actionable insights!
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the key responsibilities and skills mentioned in the job description. We appreciate when candidates take the time to connect their experience to our needs.
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 shows you’re keen on joining our team!
How to prepare for a job interview at idibu
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in relation to analysing data and building predictive models.
✨Showcase Your Visualisation Skills
Since the role involves using Power BI, prepare to talk about any experience you have with data visualisation. Bring examples of dashboards or reports you've created, and be ready to explain how they helped drive decisions.
✨Understand Water Efficiency Initiatives
Research current trends and challenges in water management and efficiency. Being able to discuss these topics will show your genuine interest in the field and how you can contribute to the company's goals.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific situations related to customer demand and data analysis. Think through some scenarios in advance and how you would approach them, demonstrating your problem-solving skills.
