MEL Advisor — Data-Driven Impact & Learning Leader

Pakistan Centre for Philanthropy; Islamabad; Presencial; PKR 1 200 000 - 2 000 000; Tempo integral

Resumo da oferta

Pakistan Centre for Philanthropy seeks a Monitoring, Evaluation & Learning Advisor to design, implement, and manage MEL systems across ASF projects. The role requires hands-on development of M&E plans, data collection tools, baseline and endline assessments, and donor reporting with a focus on evidence-based decision making.

The position involves coordinating with senior management, field teams, and partners to ensure data quality, learning, and impact documentation in support of project

Qualificações

• Master's degree in Monitoring and Evaluation, Development Studies, Social Sciences, Economics, Statistics, Agriculture, Management Sciences or a relevant discipline.
• 5–7 years of relevant experience in monitoring, evaluation, research, and reporting, preferably in donor-funded projects.
• Experience in developing M&E frameworks, indicators, survey tools, and data analysis.

Responsabilidades

• Develop and operationalize M&E plans with indicators, data collection methods, and reporting templates.
• Establish monitoring mechanisms to track progress, participation, enterprise performance, and income changes.
• Prepare baseline, monthly, quarterly, biannual, and endline reports in line with donor requirements.

Conhecimentos

M&E planning

Data analysis

Report writing

Stakeholder coordination

Formação académica

Master's degree in Monitoring and Evaluation or related field

Ferramentas

KoboToolbox

Descrição da oferta de emprego

Pakistan Centre for Philanthropy seeks a Monitoring, Evaluation & Learning Advisor to design, implement, and manage MEL systems across ASF projects. The role requires hands-on development of M&E plans, data collection tools, baseline and endline assessments, and donor reporting with a focus on evidence-based decision making.

The position involves coordinating with senior management, field teams, and partners to ensure data quality, learning, and impact documentation in support of project