National Consultant - Data Specialist, Philippinesnew
World Health Organization (WHO) · UN agency
- Health & Medical
- Manila, Philippines
Purpose of Consultancy
This consultancy will provide hands‑on, operational M&E and data management support to the WHO M&E team, contributing to routine monitoring activities, data product development, and analytical workstreams.
Background
The WHO Philippines Country Office is strengthening its Monitoring and Evaluation (M&E) support to the Department of Health (DOH) to improve evidence‑based decision‑making, tracking of health outcomes, and alignment with Universal Health Care (UHC) priorities. This includes supporting SDG 3 monitoring, national priority indicators, and subnational performance analysis to inform planning and resource allocation.
As part of this effort, there is an increasing need for operational‑level support to manage, process, and analyse health data from multiple sources (e.g., DOH systems, PSA data, LGU reports), ensuring consistency, quality, and usability for routine monitoring and reporting.
In parallel, WHO is supporting subnational data initiatives, including the development of LGU health profiles and data products for the ULAP Health Summit, as well as ongoing work on denominator estimation and data quality improvement to strengthen the reliability of key indicators such as immunization and maternal health coverage.
Deliverables
Method(s) to carry out the activity:
- Data wrangling, quality checks, metadata documentation, and reproducible workflows. Data compilation, cleaning, and validation from multiple sources (DOH systems, PSA, LGU datasets).
- Statistical analysis and simple modelling (e.g., target population estimation, time‑series, cohort analysis).
- Data quality checks and documentation of data sources and assumptions
- Contribution to analytical summaries, reports, and documentation for M&E activities
- Development of clear, decision‑friendly visualization products.
- Contribution to methods briefs, analysis notes, and reproducible code repositories.
Output 1: — Operational M&E Support for Strategic Monitoring and Reporting of 60 SDG indicators, 82 provincial data profile datasets, over 400 M&E portal datasets, and PMO datasets.
Deliverable 1.1: Develop data quality control-related mechanisms and framework.
Deliverable 1.2: Assist in routine analysis and updating/structuring of monitoring datasets, including preparation of tables, summaries, and basic analytical outputs for internal use and reporting.
Deliverable 1.3: Submit a complete reproducible code package (scripts, assets, documentation).
Output 2: — Analytical Report on LGU Data‑Use Practices
Deliverable 2.1: Conduct consultations with key stakeholders (e.g., DOH, LGUs, WHO) to validate findings and gather contextual insights on LGU data-use practices. - this is to validate the analysis and recommendations.
Deliverable 2.2: Draft an analytical report synthesizing findings from DOH/WHO‑provided materials (surveys, interviews, documents).
Deliverable 2.3: Provide a structured set of recommendations addressing bottlenecks, duplication points, and opportunities to strengthen data‑use culture
Output 3: — Target Population Estimation (2 Municipalities)
Deliverable 3.1: Prepare a methodology and analysis plan, including assumptions and data inputs.
Deliverable 3.2: Conduct analysis and produce cleaned scripts and outputs.
Deliverable 3.3: Prepare a short technical report summarizing methods, results, limitations, and recommendations
Output 4: — Data Group Coordination Support on 60 SDG indicators, 82 provincial data profile datasets, over 400 M&E portal datasets, and PMO datasets.
Deliverable 4.1: Provide support in the scheduling, preparation, and coordination of meetings
Deliverable 4.2: Maintain and update coordination trackers, timelines, and follow‑up activity lists.
Deliverable 4.3: Facilitate stakeholder consultations and feedback sessions with DOH, LGUs, and partners as part of coordination
Qualifications, Experience, Skills and Language
Educational Qualifications:
Essential: Advanced degree (master’s or higher) in Biostatistics, Health Statistics, Epidemiology, Public Health, or a closely related quantitative health field.
Desirable: Additional formal training in data science, statistical modelling, or health informatics.
Coursework or certification in data visualization or advanced analytics
Experience:
Essential: Minimum 5 years of progressively responsible experience in health data analysis, statistical modelling, or epidemiological analytics.
Demonstrated experience producing decision‑ready data products (factsheets, dashboards, briefs).
Proficiency in R or Python or other similar software, plus experience with SQL and data visualization tools.
Desirable: Experience working with WHO, UN agencies, or government health programs.
Experience applying statistical methods to LGU‑level or subnational data.
Familiarity with health information systems in the Philippines.
Skills/Knowledge:
- Strong analytical and statistical skills.
- Ability to communicate complex results to non‑technical audiences.
- Proficiency in reproducible research workflows and data documentation.
- Strong planning and organizational skills
Languages and level required:
Expert knowledge of English (Read/Write/Speak)
Location:
On site: World Health Organization, Country Office Philippines
Travel:
The consultant is expected to travel within the country as needed, with appropriate approval from his/her supervisors
Renumeration and budget:
Remuneration: PHP110,000.00 to 120,000.00
Expected duration of contract: 10 months, July 2026 to April 2027
Additional Information:
• This vacancy notice may be used to identify candidates for other similar consultancies at the same level.
• Only candidates under serious consideration will be contacted.
• A written test may be used as a form of screening.
• If your candidature is retained for interview, you will be required to provide, in advance, a scanned copy of the degree(s)/diploma(s)/certificate(s) required for this position. WHO only considers higher educational qualifications obtained from an institution accredited/recognized in the World Higher Education Database (WHED), a list updated by the International Association of Universities (IAU)/United Nations Educational, Scientific and Cultural Organization (UNESCO). The list can be accessed through the link: http://www.whed.net/. Some professional certificates may not appear in the WHED and will require individual review.
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