At a Glance
- Tasks: Analyse power data to support resilience and performance improvements.
- Company: Thames Water, a key player in UK infrastructure.
- Benefits: Full-time role with opportunities for career growth and development.
- Other info: Join a dynamic team focused on innovation and sustainability.
- Why this job: Make a real impact on critical infrastructure and shape the future of power resilience.
- Qualifications: Strong analytical skills and experience in data analysis.
The predicted salary is between 31500 - 38500 Β£ per year.
Thames Water, Reading-based, is seeking a Power Data Analyst to join the Power Resilience team on a full-time basis. You will deliver high-quality power data analysis, reporting and insights to support system criticality, resilience and performance improvement.
Responsibilities include:
- Forecasting
- Business-case analysis
- Contributing to the Power Resilience strategy
- Producing timely outputs for senior decision-makers
- Shaping long-term improvements in a critical UK infrastructure
Power Data Analyst β Drive Resilience & Forecasting in Reading employer: JAM Recruitment Ltd
At JAM Recruitment Ltd, we pride ourselves on being an exceptional employer that values the growth and development of our team members. Located in Birmingham, we offer a dynamic work culture that fosters collaboration and innovation, alongside competitive salaries and hybrid working options. With a strong focus on career progression, our employees are empowered to take on leadership roles and make a meaningful impact in the field of personal injury law.
StudySmarter Expert Adviceπ€«
We think this is how you could land Power Data Analyst β Drive Resilience & Forecasting in Reading
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We think you need these skills to ace Power Data Analyst β Drive Resilience & Forecasting in Reading
Some tips for your application π«‘
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. Donβt forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at JAM Recruitment Ltd
β¨Brush Up on Your Statistics
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