MEL Associate, Poverty Embedded Evidence Lab

Location

Contract Type

Qualifications

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 Master’s degree in a relevant field is preferred.
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 BI or Tableau.
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.

Capacity Building and Technical Support

Design and deliver MEL training workshops and learning sessions for agency staff at various levels on theories of change, indicator design, data collection methods, data analysis, data visualization, and evidence-informed decision-making.
Provide ongoing hands-on technical assistance and mentoring to M&E officers, programme managers, and field staff on practical MEL tasks including designing data collection instruments, conducting data quality checks, preparing reports and visualizations, and using evidence for programme decisions.

Build staff capacity to use data analysis and visualization tools including advanced Excel, statistical software (Stata, R, SPSS), database management tools, and visualization platforms (Power BI, Tableau).

Data Analysis, Visualization, and Reporting

Analyze primary and secondary programme data using quantitative and qualitative methods to generate actionable insights, and prepare clear data summaries, analytical reports, dashboards, and visualizations for various audiences.
Support the development and maintenance of real-time monitoring dashboards displaying key performance indicators to enable programme managers and leadership to track progress and make timely adjustments.

Contribute to high-quality technical outputs including evaluation reports, policy briefs, evidence syntheses, and lessons learned documents that communicate programme achievements, challenges, and learning.

Evidence Generation and Coordination

Support the design and implementation of primary data collection activities including surveys, focus group discussions, key informant interviews, and case studies aimed at answering learning questions and generating evidence for programme improvement.
Collaborate with IPA researchers and the assigned Lab Manager to support programme evaluations and research studies embedded within agency programmes, ensuring alignment with agency priorities and contribution to organizational learning.

Coordinate with agency departments, the Lab Manager, IPA Nigeria team, and external partners to ensure alignment and maximize synergies across MEL activities.

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