At a Glance
- Tasks: Build and optimise Power BI dashboards for energy trading analytics.
- Company: Leading energy and commodity trading business in Central London.
- Benefits: Competitive contract rate, flexible working arrangements, and potential for extension.
- Other info: Opportunity to work on complex datasets in a fast-paced environment.
- Why this job: Join a dynamic team and make an impact in the energy sector.
- Qualifications: Expert-level Power BI, strong SQL skills, and familiarity with Python.
The predicted salary is between 60000 - 80000 £ per year.
A leading energy & commodity trading business is seeking a Senior Power BI Consultant in Central London for a 6-12 month contract. The role involves building and optimising Power BI dashboards, leading data modelling for complex trading datasets, and translating business requirements for offshore developers.
Required skills include:
- Expert-level Power BI
- Strong SQL proficiency
- Familiarity with Python and Databricks
Experience in oil & gas or commodity trading is preferred.
Senior Power BI Lead for Energy Trading Analytics in London employer: Cyber Security training courses
Join a dynamic and innovative energy trading firm in Central London, where you will have the opportunity to work on cutting-edge analytics projects that drive the industry forward. Our collaborative work culture fosters creativity and professional growth, offering employees access to ongoing training and development opportunities. With a focus on employee well-being and a commitment to sustainability, we provide a rewarding environment for those looking to make a meaningful impact in the energy sector.
Contact Details:
Cyber Security training courses Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Power BI Lead for Energy Trading Analytics in London
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We think you need these skills to ace Senior Power BI Lead for Energy Trading Analytics 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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✨Brush Up on Your Statistics
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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!
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