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Key responsibilities
- Lead the development of the Inclusivity Index for IPS
- Benchmark indexes around DFS, e-governance, regulations, and business environment for best practices
- Define the scope of the Inclusivity Index for IPS and provide inputs on TOR for knowledge partnership search
- Rigorous quality assurance of the index development process from inception to pilot
- Automate the data collection process as much as possible
- Responsible for using industry and State of Inclusive Instant Payment Systems (SIIPS) data to develop solutions tailored to meet the organization’s unique needs.
- Data mining or extracting usable data from valuable data sources to support IPS inclusivity advocacy and data visualizations for presentations
- Enhancing SIIPS data collection procedures to include all relevant information for developing analytic systems
- Processing, cleansing, and validating the integrity of data to be used for analysis
- Uses statistical and analytical methods plus AI tools to automate SIIPS data collection
- Support team engagements with data analytics, visualizations, and presentations for dissemination
- Review of available literature on financial inclusion, Instant Payment Systems, and economic impact
- Use computer applications to visualize the data, leveraging infographics and compelling presentations.
- Actively produce and disseminate new knowledge; create/contribute to mechanisms to collect and share knowledge;
- Advise on developing new approaches to detecting events and trends within real-time data sources
Qualifications
Education
- Master’s degree in Data Science, Statistics, Mathematics, Economics, or a related field.
Experience
- Minimum of 5 years of experience in data analysis, statistical modeling, or related roles.
- Proven experience in global development, financial inclusion, or payment systems, particularly in the African context, is highly desirable.
- Experience with scripting, coding, and web design required for data access, analysis, and presentation.
