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Recruitment of Experts for End-to-End MEL Support Services Vacancies Jobs at GaneshAID – Remote

Recruitment of Experts for End-to-End MEL Support Services – Remote

ABOUT US GaneshAID

GaneshAID is a women-led humanist consultancy dedicated to saving more lives in low- and middle-income countries.

Our organization specializes in improving global health while respecting ethical and humanistic principles.

We are proud to support organizations and governments in developing practical, innovative approaches to solve persistent problems of inequity and low health coverage. Together with its partners, GaneshAID provides knowledge on trends in innovations and provides new ideas that support the strategic agenda of organizations, governments, and communities.

We pay particular attention to the needs of vulnerable populations, while ensuring that the proposed solutions are not only focused on economic efficiency or technical management, but also integrate values such as human dignity, equitable access to care, and community participation.

ABOUT THE PROJECT

The project aims to supportĀ Monitoring, Evaluation, and Learning (MEL)Ā activities, helping the organization use data and evidence to improve decision-making, accountability, and program performance in global immunization programs.

Location:Ā International (with in-country travel to regional offices asĀ required)
Reporting to:Ā Programme Director

1.Workstream Lead – Data and Analytics Director

Key Responsibilities

  • Lead delivery of Workstream 2 assignments
  • Oversee analytical frameworks and methodologies
  • Coordinate analytical outputs across countries andĀ programmes
  • Interface with the Gavi Secretariat and MEL team
  • Ensure analytical quality and consistency

Required Qualifications

  • Advanced degree (Master’sĀ or PhD) in one of the following fields:Ā Data Science; Epidemiology; Statistics; Public Health; Health Economics; Applied Mathematics or Quantitative Social Sciences.
  • MinimumĀ 15 years of professional experienceĀ in global health analytics, MEL systems, orĀ programmeĀ analytics.
  • Proven leadership ofĀ large-scale data analytics or MELĀ programmesĀ involving multi-country datasets.
  • ExperienceĀ advisingĀ internationalĀ organisationsĀ or global health initiativesĀ on data-driven decision-making.
  • Demonstrated experienceĀ analysingĀ immunisationĀ programmeĀ data or health system performance data.
  • Experience supervising multidisciplinary teams includingĀ data scientists,Ā analystsĀ and MEL specialists.
  • Strong understanding of statistical modelling and data analysis frameworks.
  • Familiarity withĀ large health datasets, including surveys and administrative datasets.
  • Ability to translate complex analytical outputs intoĀ strategic insights for policy decision-making
  • Strong leadership and coordination skills.
  • Excellent written communication for policy audiences.
  • Experience engaging withĀ senior stakeholders and technical teams.

2. Engineer / Data Pipeline Architect

Key Responsibilities

  • Design and implement data extraction pipelines
  • Develop ETL workflows
  • Structure datasets for EDW ingestion
  • Integrate multiple data sources
  • Ensure data quality and reproducibility

Required Qualifications

  • A Degree in:Ā Computer Science; Data Engineering; Information Systems; Data Science; Software Engineering.
  • MinimumĀ 8–10 years of professional experienceĀ in data engineering or data architecture.
  • Experience designingĀ data extraction and ETL pipelines.
  • Experience integrating data fromĀ multiple structured and unstructured sources.
  • Experience managingĀ large-scale databases or analytics environments.
  • Experience working withĀ health or development datasetsĀ is highly desirable.
  • ExpertiseĀ in programming languages such as: Python; SQL; R (optional but useful)
  • Experience with: API integrations; Data transformation pipelines; Cloud-based data environments; Database management systems.
  • Experience ensuringĀ data quality and reproducibility of analytical workflows.
  • Strong documentation skills for data processes.
  • Ability to collaborate with analysts andĀ programmeĀ specialists.

3. Data Scientist / Advanced Analytics Specialist

Key Responsibilities

  • Conduct statistical modelling
  • Perform predictive analytics
  • AnalyseĀ programmeĀ performance data
  • Support machine learning or AI applications
  • Develop analytical frameworks

Required Qualifications

  • MSc or PhD in: Data Science; Statistics; Applied Mathematics; Epidemiology; Econometrics.
  • MinimumĀ 8–10 years of experienceĀ in quantitative data analysis.
  • Experience developingĀ predictive models and advanced analytical frameworks.
  • ExperienceĀ analysingĀ large multi-country datasets.
  • Experience conducting analytics related toĀ healthĀ programmesĀ or development initiatives.
  • AdvancedĀ proficiencyĀ in:Ā R; Python; statistical modelling techniques.
  • Experience applying:Ā Machine learning techniques; predictive modelling; scenario modelling; forecasting methods.
  • Ability to communicate analytical insights clearly to non-technical audiences.
  • Experience collaborating withĀ programmeĀ teams.

4. HealthĀ ProgrammeĀ Data AnalystĀ 

Key Responsibilities

  • AnalyseĀ grant design and implementation data
  • AssessĀ programmeĀ performance and trends
  • AnalyseĀ financing and budget allocations
  • Produce analytical summaries

Required Qualifications

  • A Degree in:Ā  Public Health; Epidemiology; Statistics; Health Economics; Development Studies
  • MinimumĀ 7–10 years of experienceĀ analysingĀ programmeĀ data in health or development sectors.
  • ExperienceĀ analysingĀ grant orĀ programmeĀ implementation data.
  • Experience working withĀ administrative datasets andĀ programmeĀ performance indicators.
  • Experience conductingĀ cross-country or multi-country analysis.
  • ProficiencyĀ in statistical software such as:Ā R; Stata; Python
  • ExperienceĀ analysing:Ā Survey datasets; programmeĀ monitoringĀ data; financial or budget data
  • Understanding ofĀ immunisationĀ programmeĀ indicators and health system metrics.
  • Ability to produceĀ clear analytical summaries for decision-makers.

5. GIS and Spatial Data Analyst

Key Responsibilities

  • AnalyseĀ geographic distribution of coverage and services
  • Map subnational indicators
  • Support equity and zero-dose analysis
  • Integrate GIS datasets

Required Qualifications

  • Degree in:Ā Geography; GIS; Spatial Data Science; Environmental Science; Epidemiology with GIS specialization
  • MinimumĀ 6–8 years of experienceĀ in spatial data analysis.
  • ExperienceĀ analysingĀ subnational health or development datasets.
  • Experience supporting analysis ofĀ health service access and coverage gaps.
  • ExpertiseĀ in GIS tools such as:Ā ArcGIS; QGIS; Spatial analysis tools in R or Python.
  • Experience integrating spatial data withĀ demographic andĀ programmeĀ datasets.
  • Experience producingĀ maps and spatialĀ visualisationsĀ for policy audiences.
  • Understanding ofĀ spatial analysis applied toĀ equity and service delivery analysis

6. DataĀ VisualisationĀ and Dashboard SpecialistĀ 

Key Responsibilities

  • DesignĀ PowerBIĀ dashboards
  • Develop interactiveĀ visualisations
  • Translate analytical outputs into visual insights
  • Improve reporting tools

Required Qualifications

  • Degree in:Ā Data Science; Information Systems; Computer Science; Statistics; DataĀ Visualisation.
  • MinimumĀ 6–8 years of experienceĀ in dataĀ visualisationĀ and dashboard design.
  • Experience developingĀ interactive dashboards forĀ programmeĀ monitoring.
  • Experience working withĀ large datasets and analytical outputs.
  • AdvancedĀ expertiseĀ in:Ā PowerBI; Tableau or similarĀ visualisationĀ tools
  • Experience designing:Ā Dashboards, Interactive reports; Visual analytics products
  • Strong user-centredĀ design approach.
  • Ability to designĀ visualisationsĀ that supportĀ decision-making for non-technical audiences.

 

7. Evidence Synthesis and Literature Review Specialist

Key Responsibilities

  • Conduct thematic reviews
  • SynthesiseĀ evidence across countries
  • Track evidence generation activities
  • Support learning reports

Required Qualifications

  • Advanced degree in:Ā Public Health; Epidemiology; Global Health; Social Sciences.
  • MinimumĀ 7–10 years of experienceĀ conducting literature reviews orĀ evidenceĀ synthesis.
  • Experience conducting:Ā Systematic reviews, Rapid evidence assessments, Thematic reviews
  • ExperienceĀ synthesisingĀ evidence related toĀ global healthĀ programmes.
  • Familiarity with:Ā Systematic review methodologies; Literature databases, Grey literature searches.
  • Strong analytical writing skills.
  • Ability to translate evidence intoĀ clear policy-relevant summaries.

8. MEL Specialist

Key Responsibilities

  • Align analytical outputs with MEL frameworks
  • Ensure indicators correspond to learning questions
  • Support integration with MEL reporting

Required Qualifications

  • Advanced degree in:Ā Monitoring and Evaluation; Public Health; Development Studies; Statistics.
  • MinimumĀ 8–10 years of experienceĀ designing MEL systems or frameworks.
  • Experience working withĀ large developmentĀ programmes.
  • Experience supportingĀ learning agendas and performance monitoring systems.
  • ExpertiseĀ in:Ā Indicator frameworks, MEL reporting, Results-based management
  • Ability to link analytical outputs toĀ learning and decision-making processes.

9. Knowledge Translation and Evidence Uptake Specialist

Key Responsibilities

  • Convert analytical outputs into policy briefs
  • Produce synthesis reports
  • Support evidence uptake across technical teams
  • Prepare briefing notes

Required Qualifications

  • Degree in:Ā Public Health; Policy Studies; Development Studies; Communications.
  • MinimumĀ 7–10 years of experienceĀ translating technical evidence into policy-relevant outputs.
  • Experience producing:Ā Policy briefs; Analytical reports; Learning products.
  • Strong analytical writing and communication skills.
  • Experience producingĀ evidence briefs and knowledge products.
  • Ability to engage with both technical and policy audiences.
  • Experience supportingĀ evidence-informed decision-making.

 

10. Project Manager – Data and Analytics

Key Responsibilities

  • Coordinate analytical assignments
  • Manage timelines and deliverables
  • Coordinate multidisciplinary teams
  • Ensure quality assurance

Required Qualifications

  • Degree in:Ā Project Management;Ā Public Health; Business Administration; Development Studies.
  • MinimumĀ 8–10 years of experienceĀ managing analytics or MEL projects.
  • Experience coordinatingĀ multidisciplinary teams.
  • Experience managing complex projects with multiple deliverables.
  • Project management methodologies.
  • Experience managingĀ timelines, budgets, and deliverables.
  • Strong coordination and stakeholder management skills.
  • Ability to ensureĀ quality control andĀ timelyĀ delivery.

 

METHOD OF APPLICATION

Interested applicants are kindly requested to complete the application form via the following link.

CLICK HERE TO APPLYĀ 

 

NOTE

The outcome of these recruitments will be determined following the approval of GaneshAID’s proposal.

Shortlisted candidates will be contacted for further evaluation.

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Mr HausaLoaded

Abubakar Rabiu Editor-in-cheif

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