Data Analyst Assistant

Company: Bavarian Capital

Bavarian Capital is expanding its analysis team to support a long term engagement with a Spanish renewable energy group. As we help this partner assess sustainable growth opportunities, we need a Data Analyst Assistant to gather and organize the foundational information that informs our investment decisions. This role ensures our strategy remains rooted in accurate and accessible data while we focus on the intersection of stability and growth.
About the role
The Data Analyst Assistant will work closely with our investment professionals to maintain the integrity of our datasets. In this position, you will learn how a focused investment firm evaluates long term value in the energy sector while operating in a fully remote environment. Your work will provide the clarity needed to distinguish between temporary market noise and genuine, durable trends. We value a steady pace and a commitment to precision, ensuring that the information we use is both reliable and well organized.
What you will do
* Collect and input data from market reports and regulatory filings related to the renewable energy sector in Spain.
* Clean and organize internal spreadsheets to ensure all team members have access to up to date information.
* Conduct preliminary research on historical performance metrics for specific energy infrastructure projects.
* Assist in the preparation of weekly data summaries that highlight key changes in market conditions.
* Verify the accuracy of external data sources by comparing multiple reports and identifying discrepancies.
* Create simple visualizations and charts to help communicate complex data points to the broader investment team.
* Maintain digital documentation and archives for all research projects to support future analysis.
* Participate in team calls to discuss data findings and contribute to the preparation of internal reports.
What we are looking for
* A strong foundational understanding of how to use spreadsheets for data entry and basic calculations.
* A keen eye for detail and a preference for accuracy over speed in all tasks.
* Curiosity about the renewable energy industry and the financial factors that drive long term growth.
* The ability to work independently and manage time effectively in a remote setting.
* Clear and professional written communication skills for internal reporting.
* A systematic approach to organizing large volumes of information and digital files.
* A willingness to learn new software tools and data management techniques.
* A disciplined mindset that values stability and careful analysis.
What we offer
* Fully remote work arrangement allowing you to build your professional life with flexibility.
* A permanent, full time position with a stable and growing investment firm.
* Professional development opportunities through direct exposure to complex investment strategies.
* A competitive salary that is attractive for an entry level professional in the data analysis field.
* A calm and focused work environment that prioritizes thoughtful decision making.
* Access to the tools and resources necessary to perform high quality research from anywhere.
* A culture of mutual respect where every team member is encouraged to take pride in their craft.
* The chance to contribute to meaningful projects supporting sustainable energy infrastructure.
Working at Bavarian Capital
At Bavarian Capital, we believe that the best work comes from a place of clarity and precision. Our firm operates with a high degree of professional autonomy, and we trust our team members to handle their responsibilities with diligence. By maintaining a steady and reliable pace, we provide a professional home for those who value long term growth and a straightforward way of working together. We move with purpose, ensuring that every move we make is backed by sound reasoning and thorough research. Our remote first approach is central to our operating model, allowing us to focus on what matters most: building sustainable value for our partners and projects through careful, evidence based decisions.

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