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Join a forward-thinking company as a Data Analyst and leverage your analytical skills to drive the UK’s transition to net zero. This remote role offers a unique opportunity to perform data landscape discovery, enabling better data utilization across various programs and projects. You will work in a dynamic environment where your expertise in SQL, Python, and analytical tools will be crucial for delivering impactful data design and architecture. With a commitment to diversity and inclusion, this innovative firm values your well-being and offers flexible working arrangements. Be part of a team making a global impact in the energy sector.
Are you a data-driven professional with a passion for analytics and problem-solving? Smartest Energy is looking for a skilled Data Analyst to join its dynamic team. This remote-based role, with a London base, offers an exciting opportunity to contribute to the UK’s transition to net zero by leveraging data insights.
The ideal candidate will have experience in a data analytics or data design role, proficiency in SQL or Python for data analysis, and hands-on experience with Microsoft databases and analytical tools such as Fabric or Synapse Analytics. If you’re eager to apply your expertise in a fast-paced, innovative environment, this role is perfect for you.
Since 2001, Smartest Energy has been empowering the UK’s transition to net zero by helping business consumers, generators, and partners better understand net zero and how to achieve it. Backed by Marubeni Corporation, Smartest Energy offers reliability, sound financial stability, and insightful on-the-ground knowledge, supporting businesses in taking the next step on their net zero journey.
Position: Data Analyst
Salary: £30,000 to £32,000 annually
Job Type: Full Time
Location: Remote (London, UK)
In this exciting new role you will perform data landscape discovery and analysis to understand the purpose of data across our organisation, so it can be better leveraged, particularly for programmes and projects!
You will deliver data design in support of projects and data architecture in alignment with data strategy.
Once we receive your application, it will be reviewed by a human – no bots here! The average process typically takes around 2-3 weeks, with 2 stages of video interviews using Teams. However, this can vary depending on the role. We may invite you for a face-to-face meeting or require only 1 video interview. If you have any questions or need support, our Recruitment Team is here to assist you.
Ready to join us on our journey to digitise, decarbonise, and localize the future of energy? Apply now.