Overview
The Blended Finance Data Analytics Intern will support data analytics, reporting automation, and the development of data-driven insights for Blended Finance and fundraising operations.
Key Responsibilities
- Support data analytics, reporting automation, and the development of data-driven insights for Blended Finance and fundraising operations.
- Contribute to Blended Finance and Fundraising analytics by identifying trends, drivers, performance patterns, and forward-look recommendations to Management.
- Apply advanced data analytics, visualization, and AI-enabled techniques to generate insights from Blended Finance and Fundraising data.
- Explore opportunities to leverage artificial intelligence (AI), machine learning, and generative AI solutions to improve data quality and data gaps.
Required Experience
- Demonstrated experience through coursework, academic research, internships, or employment in financial services, investment analysis, data analytics, or related disciplines.
- Understanding of financial products, investment processes, financial institutions, capital markets, or development finance.
- Experience with data visualization and business intelligence tools, particularly Power BI.
- Knowledge of artificial intelligence (AI), machine learning, generative AI, data automation, and advanced analytics tools and their practical application to business problems.
Qualifications
Candidates must be currently enrolled in, or in the final year of, a postgraduate (master’s/PhD) program.
