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Innovations for Poverty Action (IPA)

MEL Associate, Poverty Embedded Evidence Lab

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Location

Kaduna, Nigeria

Closing Date

Date not specified

Job Tags / Metadata

KadunaMELMonitoring and EvaluationDataSocial ProtectionResearch

Position Description & Requirements

📍 Location: Kaduna, Nigeria

đź“… Deadline: Date not specified

đź’° Salary: Not specified

Employment Type: Professional role

Travel: Approximately 20%

Reports to: Manager, National Poverty Lab

ABOUT INNOVATIONS FOR POVERTY ACTION (IPA)

Innovations for Poverty Action is a global research and policy nonprofit that generates and advances evidence on what works to reduce poverty. IPA partners with researchers, governments and practitioners to strengthen programmes and improve public decision-making.

JOB SUMMARY

The MEL Associate will support an embedded evidence lab within a government agency delivering social-protection programmes. The role will strengthen the agency’s capacity to generate, manage, analyse and use data for programme improvement and policy decisions. It combines MEL-system development, staff capacity building, analysis, visualisation, evidence generation and operational coordination.

KEY RESPONSIBILITIES

  • Support development of agency-wide theories of change, results frameworks and indicator frameworks.
  • Design programme-specific MEL plans, data-collection instruments, monitoring protocols and quality-assurance mechanisms.
  • Conduct data-needs assessments, map existing sources and recommend improvements.
  • Develop practical procedures and guidance for data collection, management, reporting, quality assurance and use.
  • Implement verification, spot-check, data-audit and corrective-action processes.
  • Design and deliver MEL training, learning sessions and evidence-to-action workshops.
  • Mentor M&E officers, programme managers and field staff on MEL tasks and data use.
  • Build staff skills in Excel, statistical tools, database management and data visualisation.
  • Analyse qualitative and quantitative data and prepare reports, dashboards and clear visualisations.
  • Translate technical findings into actionable insights for non-technical audiences.
  • Contribute to evaluation reports, policy briefs, evidence syntheses and lessons-learned products.
  • Support surveys, focus groups, key-informant interviews and case studies.
  • Coordinate with government departments, IPA staff, researchers and external partners.
  • Support workshop planning, procurement, field visits, documentation, work planning and reporting.

QUALIFICATIONS AND EXPERIENCE

  • Bachelor’s degree in Statistics, Economics, Demography, Social Sciences, Development Studies, Public Policy, International Development or a related quantitative or social-science field; a relevant master’s degree is preferred.
  • At least three years’ professional experience in monitoring, evaluation and learning, preferably in social protection, poverty reduction, livelihoods or international development.
  • Advanced Excel skills and proficiency in at least one statistical package such as Stata, R or SPSS.
  • Experience with visualisation platforms such as Power BI or Tableau.
  • Hands-on experience designing, strengthening or implementing MEL systems.
  • Ability to manage multiple programmes or workstreams and coordinate stakeholders and deliverables.
  • Demonstrated ability to train, coach or mentor others in MEL and data use.
  • Excellent written and verbal communication.
  • Experience working with government institutions or regulatory agencies is highly desirable.
  • Cultural and political sensitivity, teamwork and commitment to data-informed development.
  • Fluency in English.

The selected candidate must comply with IPA safeguarding standards and contribute to a safe, respectful environment for children, vulnerable adults and other stakeholders.

HOW TO APPLY

Use the official IPA/ADP recruitment link on this listing and select “Apply.” The employer has not stated a closing date; qualified candidates should apply as soon as possible while the route remains open.