RCLM GmbH
We are global leaders in climate data licensing, acting as a central intermediary between data providers such as NGOs, think tanks, and research institutions, and financial institutions. Our goal is to enable access to the best available climate data through innovative licensing models and tailored solutions. With a boutique approach, we streamline data flow and support informed, sustainable decisions that contribute to achieving the Paris Agreement goals.
Working Student in Data Analysis and Sustainable Finance
Are you looking for a meaningful role where you can make a real impact in climate protection and sustainable finance? Join our team and apply now.
Tasks
Your tasks will include:
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Scientific Research and Analysis: You will engage deeply with the latest research in Financial Science and Climate Science. You will read, analyze, and evaluate these studies to extract valuable insights. Strong skills in scientific citation are essential for this task.
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Data Analysis and Visualization: You will play a key role in supporting data analysis and creating clear visualizations to present complex information in an easily understandable way.
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Strategic Research: You will conduct foundational research, organize it with precision, and provide the basis for strategic decision-making.
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Project Support in Daily Operations: You will assist the team in daily project operations, ensuring that our projects run smoothly and successfully.
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Communication and Knowledge Sharing: You will contribute to a productive and collaborative work environment by sharing your knowledge openly and clearly with the team through consistent communication.
Requirements
To be successful in this exciting role, you should have the following qualifications and skills:
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Working Student (enrolled): You are currently enrolled in a relevant field of study such as Economics, Climate Science, Statistics, or a related area. You reside in Berlin.
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Initiative and Independence: You work independently, show initiative, and bring creative solutions to projects.
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Analytical Skills and Research Strength: You are skilled in researching, analyzing, and evaluating scientific publications, and you can present strategic information accurately as well as summarize complex content in an understandable way.
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Knowledge of Data Analysis and Visualization: Experience with GNU R is required; familiarity with other data analysis tools is a plus.
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Fluent English Skills: You have excellent written and spoken English skills.
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Communication Skills: You communicate clearly and transparently and actively contribute to knowledge sharing within the team.
What we offer
What we offer you:
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Central co-working office: You will work in a modern co-working space in the heart of Berlin-Friedrichshain, with the option to join the team on-site 1-2 days per week and otherwise work remotely.
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Meaningful work: You will be part of a team actively contributing to solving the climate crisis and transforming the financial world towards sustainability – your role will have a real impact.
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Opportunities for growth: We offer you the chance to develop both personally and professionally and to actively contribute your ideas to our projects.
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Attractive compensation package: Working Student: 14 Euros per hour. Additionally, we offer 30 days of annual leave, regardless of the position.
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Flexible working conditions: You have the flexibility to work independently and maintain a good work-life balance.
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Subsidy for the Deutschlandticket: We support you with a subsidy for the 49-Euro Ticket, making your commute relaxed and sustainable.
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Flat hierarchies: We foster an open company culture where your opinion matters, and you can take on responsibility from day one.
How to apply
If you see yourself in this job description and are excited to become part of our dynamic team, we look forward to receiving your application by October 28th, 2024.
Facts
Published | 07.10.2024 |
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Number of employees | 2 |
Category | Working student |
Location | Germany, Berlin, Berlin |
Area of responsibility | Computer science, Natural sciences, Statistics, Business sciences, Economics and law |
Start date (earliest) | Earliest possible |
Full/Part-time | part time |
Remuneration | 14 Euros per hour |
Remote work | Partially possible |
Working language and expected level |
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Homepage | https://www.rclm.io |
Requirements
Field of study | Law, economics and social sciences, Natural sciences and mathematics, Business informatics, Environmental sciences, Statistics |
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Computerkenntnisse | Erfahrung mit GNU R ist erforderlich |
Contact
Contact person | Madlen Peter |
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Apply
Application deadline | 28.10.2024 |
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By email | mp@rclm-data.com |