At a Glance
- Tasks: Lead environmental data collection and carbon reporting for sustainability initiatives.
- Company: Join Silverstone Circuits Limited, a leader in driving net-zero and social impact.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for personal growth.
- Other info: Be part of a dynamic team focused on continuous improvement and impactful change.
- Why this job: Make a real difference in sustainability while collaborating with passionate teams.
- Qualifications: Experience in data analysis and a passion for environmental and social issues.
The predicted salary is between 29700 - 36300 £ per year.
Silverstone Circuits Limited is seeking an ESG Data Analyst to lead environmental data collection, management and carbon reporting across energy, water, waste and emissions metrics.
You will coordinate with external partners and internal teams to support ESG certification processes and drive continuous improvement.
You will also collect social impact data with the People and Culture team, monitor performance against the net zero plan, and communicate insights to stakeholders.
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ESG Data Analyst: Drive Net-Zero & Social Impact in Silverstone employer: Silverstone Circuits Limited
Silverstone Circuits Limited is an exceptional employer, offering a dynamic work environment where creativity and collaboration thrive. With flexible hours and a strong focus on employee growth, you will have the opportunity to lead exciting projects like CarFest while contributing to sustainability and innovation in event management. The vibrant culture at Silverstone fosters teamwork and encourages continuous improvement, making it a rewarding place to build your career.
Contact Details:
Silverstone Circuits Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land ESG Data Analyst: Drive Net-Zero & Social Impact in Silverstone
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We think you need these skills to ace ESG Data Analyst: Drive Net-Zero & Social Impact in Silverstone
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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