ABOUT US
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.
For more information, please visit:
Our website: https://ganeshaid.com/en/
Our LinkedIn page: https://www.linkedin.com/company/ganeshaid/
ABOUT THE PROJECT
The project aims to support Monitoring, Evaluation, and Learning (MEL) activities, helping the organization use data and evidence to improve decision-making, accountability, and program performance in global immunization programs.
Location: International (with in-country travel to regional offices as required)
Reporting to: 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 and programmes
- Interface with the Gavi Secretariat and MEL team
- Ensure analytical quality and consistency
Required Qualifications
- Advanced degree (Master’s or PhD) in one of the following fields: Data Science; Epidemiology; Statistics; Public Health; Health Economics; Applied Mathematics or Quantitative Social Sciences.
- Minimum 15 years of professional experience in global health analytics, MEL systems, or programme analytics.
- Proven leadership of large-scale data analytics or MEL programmes involving multi-country datasets.
- Experience advising international organisations or global health initiatives on data-driven decision-making.
- Demonstrated experience analysing immunisation programme data or health system performance data.
- Experience supervising multidisciplinary teams including data scientists, analysts and MEL specialists.
- Strong understanding of statistical modelling and data analysis frameworks.
- Familiarity with large health datasets, including surveys and administrative datasets.
- Ability to translate complex analytical outputs into strategic insights for policy decision-making
- Strong leadership and coordination skills.
- Excellent written communication for policy audiences.
- Experience engaging with 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: Computer Science; Data Engineering; Information Systems; Data Science; Software Engineering.
- Minimum 8–10 years of professional experience in data engineering or data architecture.
- Experience designing data extraction and ETL pipelines.
- Experience integrating data from multiple structured and unstructured sources.
- Experience managing large-scale databases or analytics environments.
- Experience working with health or development datasets is highly desirable.
- Expertise 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 ensuring data quality and reproducibility of analytical workflows.
- Strong documentation skills for data processes.
- Ability to collaborate with analysts and programme specialists.
3. Data Scientist / Advanced Analytics Specialist
Key Responsibilities
- Conduct statistical modelling
- Perform predictive analytics
- Analyse programme performance data
- Support machine learning or AI applications
- Develop analytical frameworks
Required Qualifications
- MSc or PhD in: Data Science; Statistics; Applied Mathematics; Epidemiology; Econometrics.
- Minimum 8–10 years of experience in quantitative data analysis.
- Experience developing predictive models and advanced analytical frameworks.
- Experience analysing large multi-country datasets.
- Experience conducting analytics related to health programmes or development initiatives.
- Advanced proficiency in: R; Python; statistical modelling techniques.
- Experience applying: Machine learning techniques; predictive modelling; scenario modelling; forecasting methods.
- Ability to communicate analytical insights clearly to non-technical audiences.
- Experience collaborating with programme teams.
4. Health Programme Data Analyst
Key Responsibilities
- Analyse grant design and implementation data
- Assess programme performance and trends
- Analyse financing and budget allocations
- Produce analytical summaries
Required Qualifications
- A Degree in: Public Health; Epidemiology; Statistics; Health Economics; Development Studies
- Minimum 7–10 years of experience analysing programme data in health or development sectors.
- Experience analysing grant or programme implementation data.
- Experience working with administrative datasets and programme performance indicators.
- Experience conducting cross-country or multi-country analysis.
- Proficiency in statistical software such as: R; Stata; Python
- Experience analysing: Survey datasets; programme monitoring data; financial or budget data
- Understanding of immunisation programme indicators and health system metrics.
- Ability to produce clear analytical summaries for decision-makers.
5. GIS and Spatial Data Analyst
Key Responsibilities
- Analyse geographic distribution of coverage and services
- Map subnational indicators
- Support equity and zero-dose analysis
- Integrate GIS datasets
Required Qualifications
- Degree in: Geography; GIS; Spatial Data Science; Environmental Science; Epidemiology with GIS specialization
- Minimum 6–8 years of experience in spatial data analysis.
- Experience analysing subnational health or development datasets.
- Experience supporting analysis of health service access and coverage gaps.
- Expertise in GIS tools such as: ArcGIS; QGIS; Spatial analysis tools in R or Python.
- Experience integrating spatial data with demographic and programme datasets.
- Experience producing maps and spatial visualisations for policy audiences.
- Understanding of spatial analysis applied to equity and service delivery analysis.
6. Data Visualisation and Dashboard Specialist
Key Responsibilities
- Design PowerBI dashboards
- Develop interactive visualisations
- Translate analytical outputs into visual insights
- Improve reporting tools
Required Qualifications
- Degree in: Data Science; Information Systems; Computer Science; Statistics; Data Visualisation.
- Minimum 6–8 years of experience in data visualisation and dashboard design.
- Experience developing interactive dashboards for programme monitoring.
- Experience working with large datasets and analytical outputs.
- Advanced expertise in: PowerBI; Tableau or similar visualisation tools
- Experience designing: Dashboards, Interactive reports; Visual analytics products
- Strong user-centred design approach.
- Ability to design visualisations that support decision-making for non-technical audiences.
7. Evidence Synthesis and Literature Review Specialist
Key Responsibilities
- Conduct thematic reviews
- Synthesise evidence across countries
- Track evidence generation activities
- Support learning reports
Required Qualifications
- Advanced degree in: Public Health; Epidemiology; Global Health; Social Sciences.
- Minimum 7–10 years of experience conducting literature reviews or evidence synthesis.
- Experience conducting: Systematic reviews, Rapid evidence assessments, Thematic reviews
- Experience synthesising evidence related to global health programmes.
- Familiarity with: Systematic review methodologies; Literature databases, Grey literature searches.
- Strong analytical writing skills.
- Ability to translate evidence into 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: Monitoring and Evaluation; Public Health; Development Studies; Statistics.
- Minimum 8–10 years of experience designing MEL systems or frameworks.
- Experience working with large development programmes.
- Experience supporting learning agendas and performance monitoring systems.
- Expertise in: Indicator frameworks, MEL reporting, Results-based management
- Ability to link analytical outputs to 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: Public Health; Policy Studies; Development Studies; Communications.
- Minimum 7–10 years of experience translating technical evidence into policy-relevant outputs.
- Experience producing: Policy briefs; Analytical reports; Learning products.
- Strong analytical writing and communication skills.
- Experience producing evidence briefs and knowledge products.
- Ability to engage with both technical and policy audiences.
- Experience supporting 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: Project Management; Public Health; Business Administration; Development Studies.
- Minimum 8–10 years of experience managing analytics or MEL projects.
- Experience coordinating multidisciplinary teams.
- Experience managing complex projects with multiple deliverables.
- Project management methodologies.
- Experience managing timelines, budgets, and deliverables.
- Strong coordination and stakeholder management skills.
- Ability to ensure quality control and timely delivery.
NOTE
The outcome of these recruitments will be determined following the approval of GaneshAID’s proposal.
HOW TO JOIN?
Interested applicants are kindly requested to complete the application form via the following link.
Please click here to apply. Shortlisted candidates will be contacted for further evaluation.
GaneshAID values diversity and welcomes applicants of all backgrounds, as we believe that different perspectives and experiences enrich our work and enable us to better serve the communities we work with.
