\\n Emerald is a globally recognized venture capital firm building a sustainable future at the crossroads of industry and technology. Founded in 2000, it is a pioneer in open innovation, providing multi-national corporations with rich deal flow and insight in the sectors and markets of tomorrow. Emerald has managed and advised assets of over \\xe2\\x82\\xac1 billion from its offices in Zurich, Toronto and Singapore. The firm is dedicated to tackling big challenges in climate change and sustainability via over 500 venture transactions and five third-party investment mandates, including loan guarantees to over 100 start-ups.
We are looking for an experienced, motivated Data Analyst with an entrepreneurial mindset to join the team in Zurich. As Data Analyst in the area of investment controlling and portfolio management you will play a crucial role in driving data-driven decision-making processes and providing valuable insights to support our investment strategies. Ideally, you have some experience in investment controlling/ reporting. Your responsibilities include:
Responsibility for Investment Controlling and Portfolio Management
Tracking of portfolio company financials and KPIs, including ESG & Impact elements
Monitoring and assessing portfolio performance and health (portfolio assessment tool)
Interacting with portfolio company management teams
Supporting deal execution
Continuously improve data management and analysis processes to enhance efficiency and accuracy
Providing input for our semi-annual investor forums
Establishing and continuously improving systems and tools for management and investor reporting
Providing investor-specific reports and ad-hoc requests
Providing input for all sorts of presentations and surveys
Performing ESG analysis and preparing reports
Support portfolio companies in reporting and performance monitoring
Support our fundraising activities
Assistance in fundraising and due diligence queries
Keeping data room up to date
Required skills and qualifications
Bachelor\\xe2\\x80\\x99s or master\\xe2\\x80\\x99s degree in Finance, Economics, Mathematics, or a related field
3 years of working experience as a Data Analyst in finance/reporting \\xe2\\x80\\x93 ideally in the financial industry
Proficiency in data analysis tools and languages (e.g. Excel, PowerBI, SQL, Python)
Strong analytical and problem-solving skills with a keen eye for detail
Familiarity with investment controlling/reporting and investment accounting (VC/PE or reporting experience would be a plus)
Fluent English is a must (writing & speaking), solid German would be an advantage
Needs to have a strong interest in supporting the development of digital tools.
Very good sense for presentation and communication of numbers \\xe2\\x80\\x93 must love numbers
Offer
Responsible, versatile role
Short decision-making processes and room to actively participate
Successful company with a well-known brand in the relevant markets
Attractive employment conditions
Part of a highly professional, motivated team in a future-oriented sector
This position represents a unique opportunity to become a part of a global team, that continuously expands its activities and to create a tangible and sustainable impact in the corporate venture capital industry. For a dedicated business professional with strong analytical skills, this position offers a broad variety of areas of responsibility.
Emerald is committed to being a diverse and inclusive company. We consider diversity and inclusion critical to our long-term success. You easily integrate yourself into an international and specialized team and are interested in entering into a long-term commitment.
All qualified applicants will be considered equally without regard to their gender, age, culture, nationality, ethnicity, physical abilities, political and religious beliefs, sexual orientation and other attributes. Please send us your application including details of your academic and career history . Sabine Byland, who is engaged by Emerald in this matter, will be happy to answer any questions you may have.\\n \\n \\n \\n \\n \\n
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