Interns- Data and Research

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 healthequity.