Ideal candidate• Background in statistics, economics, public health, gender studies, data science,
development studies, or a related field.
• Comfortable working with Excel, Google Sheets, Kobo, ODK, STATA, R, Python, Power BI,
or similar tools.
• Strong attention to detail and interest in women’s economic opportunity and health
equity.
Key responsibilities• Support data collection from women participants, community partners, and savings
groups.
• Clean and organise quantitative and qualitative data from surveys, interviews, focus
groups, and partner reports.
• Assist in building the 5,000-woman status and insights base.
• Support analysis of women’s income patterns, savings behaviour, enterprise barriers,
digital access, care responsibilities, and health-related financial pressures.
• Assist in preparing research summaries, dashboards, learning briefs, and internal
reports.
• Support ethical data handling, consent documentation, anonymisation, and secure data
storage