An institution that mobilizes capital from the public and private sectors to invest in projects, businesses and social enterprises with the intention to generate good financial returns and measurable positive social-environmental impact, as well as act as a champion to help increase awareness and confidence on the advantages of impact investing.
Job Description:
- We are seeking a highly skilled and motivated Business Analyst with strong researcher, writer, Excel, and presentation skills to join our dynamic team.
- The ideal candidate will be responsible for analyzing business processes, gathering and interpreting data, and providing actionable insights to drive strategic decision-making.
Responsibilities:
- Conduct research to gather data and information relevant to business objectives.
- Analyze and interpret data to identify trends, patterns, and insights.
- Prepare detailed reports and presentations to communicate findings and recommendations to stakeholders.
- Collaborate with cross-functional teams to understand business needs and requirements.
- Develop and maintain dashboards and reports using Excel and other data analysis tools.
- Identify opportunities for process improvement and efficiency gains.
- Assist in the development and implementation of business strategies and initiatives.
- Stay updated on industry trends and best practices in business analysis and data analytics.
Requirements:
- Bachelor's degree in Business Administration, Economics, Finance, or related field.
- Proven experience as a Business Analyst or similar role.
- Strong research and analytical skills with attention to detail.
- Proficiency in Microsoft Excel, including pivot tables, vlookup, and data visualization techniques.
- Excellent written and verbal communication skills.
- Ability to work independently and collaborate effectively in a team environment.
- Strong organizational and time management skills with the ability to prioritize tasks and meet deadlines.
- Experience with presentation software such as PowerPoint or Keynote.
- Knowledge of statistical analysis and modeling techniques is a plus.
Method of Application
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