Key Responsibilities
1. Analytical Frameworks & Research
- Develop and maintain quantitative and qualitative analytical frameworks to track enterprise and ecosystem outcomes.
- Benchmark DA’s models against comparable entrepreneurship programs nationally and globally.
- Design survey instruments, sampling frameworks, and data collection protocols.
2. MEL Systems & Dashboards
- Work with the data team to manage interactive dashboards for program monitoring, including enterprise formation, survival, income, job creation, and gender/social group disaggregation.
- Maintain an internal evaluation documentation and quantitative dashboards, assessing gaps and challenges regularly to inform practice and knowledge transference.
3. Data Analysis & Synthesis
- Lead analysis of program data (R, Stata, or Python) and prepare periodic insight briefs and technical reports.
- Translate data into actionable recommendations for program managers and partners.
- Produce policy-ready knowledge products (briefs, presentations, blogs, and conference papers).
4. Field Research & Engagement
- Support surveys and evaluations.
- Engage directly with entrepreneurs and local stakeholders.
- Ensure data quality and contextual accuracy during fieldwork.
5. Enterprise Support & Knowledge Transfer
- Provide data-driven inputs for enterprise support services (e.g., pricing, viability analysis, financial planning).
- Build capacity of field teams on data collection, dashboard usage, and interpretation.
- Contribute to DA’s broader knowledge platforms.
