BRAC is the world’s largest international development organisation, dedicated to empowering people living in poverty. The Officer, Research and Learning is responsible for supporting BRAC International’s research, monitoring, and evaluation efforts through rigorous data management, analysis, and knowledge synthesis. This role involves ensuring data quality, performing detailed analyses, visualizing findings, developing monitoring tools, and conducting relevant desk research.
Key Responsibilities
- Review and clean data while documenting actions taken.
- Regularly conduct qualitative and quantitative data analyses with a high level of attention to detail.
- Create data visualisations (e.g., charts & graphs).
- Develop reports and data dashboards to monitor key project indicators.
- Conduct desk research and draft literature reviews relevant to BRAC International’s work (e.g., youth empowerment, early childhood development, sustainable livelihoods, among others).
- Support in the development of a knowledge management function.
Safeguarding Responsibilities
- Implement programme decisions keeping the safety and dignity of programme participants/clients at the center, mitigate safeguarding risks, and contribute to a safe working environment where staff are respected and feel confident to voice concerns without fear of retaliation.
- Receive mandatory training on the safeguarding policies and reporting channels and have access to policies.
- Participate in discussions on the safeguarding agenda in monthly meetings and actively voice concerns without fear.
- Report safeguarding incidents witnessed or experienced to the Safeguarding department. For known cases, maintain neutrality, be sensitive and non-judgemental to victims/survivors, and cooperate with organizational investigations providing accurate information as needed.
Academic Qualifications
- Bachelor's degree from a reputed university preferably in International Development/ Public Policy/ Data Sciences or a related field.
Experience Requirements
- Minimum one year of experience in data analysis, research, or M&E.
- Demonstrated experience analysing qualitative data using Nvivo or Dedoose.
- Significant experience using Microsoft Excel as well as one other script-based statistical package to analyse quantitative data collected for program monitoring or evaluation.
- Experience building data visualizations and dashboards.
