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Africa Global Logistics Kenya, Baltic Textiles (Mitumba), Oshwal Academy , United States International University - Africa, World Agroforestry Centre (ICRAF)Profession
Accounting, finance, banking, insurance,Administrative, clerical,Agriculture, fishing, forestry, wildlife,Business, strategic management,Construction,Customer support, client care,Design, arts,Electrical engineering,Energy, power,Engineering, architecture,Food, nutrition,General management, leadership,Government, community development, public services,Human resources,Information technology, software development, data,Installation, maintenance, repair,Legal,Manufacturing, operations, quality,Mechanical engineering,Media, communications, languages,Medical, health,Project, program management,Research, academy,Restaurant, hospitality, travel,Sales, marketing, promotion,Security,Skilled, manual labor,Teaching, training,Telecommunications,Transportation, logistics, driving,
Industry
Aeronautics,Agriculture, fishing, forestry,Automotive,Banking, microfinance, insurance,Communications, media, radio, tv,Computers, software development and services,Construction, renovation, maintenance,Consulting, business support, auditing,Data/Research,Education, academic,Electronics,Energy, utilities, environment,Engineering, architecture,Finance & FinTech,Financial Services,Fitness, well-being and lifestyle,Governmental,Health care, medical,Housekeeping, maintenance,Human resources, talent development, recruiting,Import, export,Legal, accounting,Manufacturing,Marketing, advertising,Non-profit, social work,Outsourcing, leasing,Raw materials, oil, chemicals,Real estate,Restaurant, hospitality, travel,Retail, wholesale, FMCG,Security,Telecommunications,Textile, fashion,Transportation, logistics, storage,
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Africa Center for Health Systems and Gender Justice
Non-profit + 1 more
Description
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
• Clean and organise quantitative and qualitative data from surveys, interviews, focus
• 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
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