MEL Associate, Poverty Embedded Evidence Lab
- Compensation
- Not disclosed
- Location
- Nigeria, NG
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Embedded
- Posted
Skills
Must have
- Bachelor’s degree in Statistics, Economics, Demography, Social Sciences, Development Studies, Public Policy, International Development, or a related quantitative or social science field is required; a
- Minimum of 3 years of professional experience in monitoring, evaluation, and learning, preferably in social protection, poverty reduction, livelihoods, or international development programmes.
- Proficiency in data analysis and visualization tools, including advanced Microsoft Excel, at least one statistical software package (Stata, R, or SPSS), and data visualization platforms such as Power
- Hands-on experience designing, strengthening, or implementing Monitoring, Evaluation, and Learning (MEL) systems, including data collection, management, and analysis frameworks.
- Proven ability to manage multiple programmes or workstreams simultaneously, including coordinating stakeholders, tracking progress, and managing deliverables.
- Demonstrated ability to train, coach, or mentor others in MEL systems, including building institutional capacity for data use.
- Excellent written and verbal communication skills, including the ability to translate technical analysis into clear, structured, and policy-relevant insights for non-technical audiences.
- Experience working with government institutions or regulatory agencies is highly desirable.
- Willingness to be a team player and identify connections between work streams.
- Cultural and political sensitivity and demonstrated ability to work successfully with diverse constituencies.
- Passion for making data-driven decision-making a reality in the development sector.
Full description
Job Summary
IPA Nigeria is seeking a MEL Associate to support an embedded evidence lab established within a partner government agency implementing social protection programmes for vulnerable populations. The partner agency’s portfolio spans areas such as nutrition and education support, conditional cash transfers, and economic empowerment and livelihoods programmes.
The MEL Associate will work as part of an embedded team to strengthen the agency’s capacity to systematically generate, manage, analyze, and use data and evidence for programme improvement and policy decision-making. This position requires hands-on MEL expertise, strong capacity-building skills, and the ability to work effectively within government systems. The MEL Associate will collaborate closely with agency staff across multiple departments to co-create practical MEL systems, deliver training and technical assistance, support data analysis and visualization, and foster a culture of evidence-informed decision-making.
This is an opportunity to apply MEL expertise in a high-impact setting at the intersection of social protection policy and practice, working directly within government to build the systems, skills, and organizational culture needed to improve outcomes for vulnerable populations. The ideal candidate combines technical MEL knowledge with practical implementation experience, excellent training and mentoring abilities, and a passion for sustainable capacity development in government institutions. The MEL Associate may also be called upon to support other IPA Nigeria embedded lab engagements as organizational needs evolve.
Responsibilities
- MEL Systems Development and Implementation
- Support the development and implementation of an agency-wide MEL framework, working collaboratively with agency staff to develop theories of change, results frameworks, and indicator frameworks aligned with strategic objectives and reporting requirements.
- Design programme-specific MEL plans for individual programme teams, including data collection instruments, monitoring protocols, and quality assurance mechanisms tailored to each programme’s context and decision-making needs.
- Conduct data needs assessments across agency departments, mapping information requirements against existing data sources, identifying gaps, assessing data quality, and recommending solutions to strengthen data systems.
- Develop standard operating procedures, guidelines, and protocols for data collection, management, quality assurance, reporting, and data use that are practical, user-friendly, and appropriate to staff capacity levels.
- Implement data quality assurance mechanisms including verification protocols, spot-checks, data audits, and corrective action processes to ensure reliable and accurate programme data.