eHealth4everyone is a leading digital health social enterprise dedicated to making the world healthier. We are a new kind of mission-driven organization with services, expertise and products focused on making the business of healthcare delivery work for everyone, through technology-enabled optimizations. We believe that if health is a right, proven digital health solutions and expertise such as ours should not be a privilege. Working with participants across the spectrum of healthcare, from individuals, healthcare providers, government departments and stakeholders, insurance organizations, pharmaceutical companies, and various private sector players, we enable high performance across the continuum of healthcare delivery and management.
Job Summary:
The Data Analyst will lead and support the analysis of qualitative data collected from field officers, including health-care providers and community leaders. The Analyst will synthesize findings to inform project coordinator and ensure that the voices of clients and providers are meaningfully represented in project outputs.
Key Responsibilities:
- Lead the analysis of qualitative data using established qualitative methods.
- Collaborate with field teams to ensure high-quality data collection and ethical standards.
- Conduct literature reviews and desk research to contextualize findings within existing evidence on PAC and reproductive health.
- Draft detailed analytical reports, case studies, and summaries for internal and external dissemination.
- Work closely with the research team to triangulate qualitative insights with quantitative findings.
- Ensure data privacy, confidentiality, and informed consent are maintained throughout the data life cycle.
Qualifications and Experience:
- Degree in Public Health, Social Sciences, Gender Studies, Anthropology, or a related field.
- Minimum 3–5 years of experience in qualitative research or analysis in a health or development context.
- Demonstrated experience analyzing qualitative data.
- Strong knowledge of qualitative data software such as N vivo, Atlas TL etc
- Excellent writing skills and ability to translate complex data into accessible insights.
- Experience working in multicultural and cross-disciplinary teams.
Method of Application
Signup to view application details.
Signup Now
