At a Glance
- Tasks: Analyse data to identify leakage opportunities and improve water network efficiency.
- Company: Join Hydrosave, a leader in pipeline inspection and leak detection.
- Benefits: Enjoy competitive salary, family-friendly leave, and professional development opportunities.
- Other info: Be part of a diverse team committed to inclusion and continuous improvement.
- Why this job: Make a real impact on water management while developing your analytical skills.
- Qualifications: Experience in data analysis and strong problem-solving skills required.
The predicted salary is between 33907 - 33907 £ per year.
Hydrosave is a leading specialist pipeline inspection, leak detection, valve maintenance and water audit company. The business is dedicated to finding new ways to optimise the efficient use, maintenance and management of water networks.
We are looking for a proactive and analytical Leakage Data Analyst to support the delivery of the Thames Water Leakage Framework. In this role, you will use data to identify leakage opportunities, target field activity, and maximise the effectiveness of leakage reduction campaigns. Working closely with operational teams, supervisors, and clients, you'll help drive performance, improve productivity, and ensure robust data management across leakage and unaccounted-for water investigations.
This is an excellent opportunity for someone who enjoys problem-solving, working with data, and making a tangible impact on operational performance and water network efficiency.
Key Responsibilities:- Analyse network and operational data to identify leakage opportunities and direct field investigations.
- Develop and optimise tactical plans for District Metered Area (DMA) campaigns using a continuous improvement approach (Plan, Do, Check, Act).
- Identify and provide points of interest for suspected leakage and unaccounted-for water investigations.
- Measure campaign performance and provide insights against contractual KPIs.
- Monitor repair SLAs, operational compliance, and leakage resolution timescales.
- Support the coordination and analysis of lift-and-shift logger programmes.
- Coordinate in-pipe camera survey activities and ensure accurate recording of outcomes.
- Maintain accurate records of campaign activity, findings, and improvement opportunities.
- Provide actionable recommendations and performance insights to management and operational teams.
- Attend campaign planning and review meetings with Leakage Optimisation Teams.
- Participate in client meetings and provide updates on campaign progress and performance.
- Proactively identify and escalate operational issues to relevant stakeholders.
- Ensure accurate and robust recording of operational data and campaign outcomes.
- Maintain comprehensive audit trails to support contract delivery and performance reporting.
- Support the Leakage Programme Lead with reporting, analysis, and performance metrics for client and management reviews.
- Proven experience in data analysis, reporting, and data manipulation.
- Strong analytical and problem-solving skills with the ability to interpret complex datasets.
- Knowledge of water networks, leakage management, or utilities operations.
- Experience supporting field-based operational teams.
- Understanding of DMA management, leakage detection techniques, or unaccounted-for water investigations.
- Excellent organisational skills and the ability to manage multiple priorities.
- Strong communication skills, both written and verbal.
- Experience using Microsoft Excel, Word, Outlook, and data management systems.
- Ability to work independently and collaboratively within a team environment.
- A proactive approach with a focus on continuous improvement.
- Family-Friendly Leave: Enhanced Maternity, Adoption, Paternity & Shared Parental Leave, Fertility Support, and up to 5 paid Carer’s Days.
- Financial & Life Assurance: Company Pension Scheme with salary sacrifice options.
- Health & Wellbeing: Employee Assistance Programme and 24/7 Virtual GP access for you and your dependents.
- Lifestyle & Perks: Cycle to Work Scheme and My Premier Benefits discounts, cashback, and vouchers.
- Professional Development: Hands-on training and ongoing career development opportunities.
- Inclusion & Belonging: Active People Networks – Disability & Neurodiversity, Unity+, Women’s Network, Parent & Carer Networking Group and more.
- Performance & Recognition: Annual salary review, Reward & Recognition Scheme, and Long Service Awards.
At South Staffordshire Limited, inclusion matters. We have a wide range of employee networks which are employee-led communities that bring our people together, support different perspectives and create a strong sense of belonging. Our people are encouraged to get involved as members or allies.
We are committed to building a team that reflects the diversity of the communities we serve. We warmly welcome applications from candidates of all backgrounds, including all genders, ethnicity, sexual orientations, and physical and neurodiverse abilities. We are happy to discuss reasonable adjustments and encourage you to let us know how we can best support you throughout the recruitment process.
Leakage Data Analyst in London employer: Hydrosave
At Hydrosave, we pride ourselves on being an excellent employer, offering a supportive and inclusive work culture that values diversity and encourages professional growth. Located in North London, our team enjoys a range of benefits including enhanced family leave, comprehensive health and wellbeing support, and opportunities for continuous development in the water industry. Join us to make a meaningful impact on water network efficiency while working alongside industry experts in a collaborative environment.
StudySmarter Expert Advice🤫
We think this is how you could land Leakage Data Analyst in London
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We think you need these skills to ace Leakage Data Analyst in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Hydrosave, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Hydrosave. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Hydrosave
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Hydrosave!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.