National Consultant - Data Specialist, Philippines

WHO - World Health Organization; Manila; On-site; PHP 1,228,000 - 1,339,000; Full time

Job summary

World Health Organization Philippines is seeking a National Consultant - Data Specialist to provide hands-on M&E and data management support to the M&E team, contributing to routine monitoring, data product development, and analytical workstreams.

The role involves data wrangling, quality checks, statistical analysis, visualizations, and reproducible code delivery, supporting 60 SDG indicators, 82 provincial profiles, and hundreds of datasets across DOH and LGU sources, with travels

Qualifications

• Advanced degree in biostatistics or related field.
• Minimum 5 years health data analysis experience.
• Proficiency in R or Python, SQL, and data visualization.
• Experience with WHO or government health programs preferred.

Responsibilities

• Provide hands-on M&E and data management support to the M&E team.
• Conduct data wrangling, quality checks, and metadata documentation.
• Perform statistical analyses and simple modelling for routine monitoring.
• Develop clear, decision-friendly visualizations and reusable code.
• Contribute to analytical summaries, reports, and data products for DOH and LGUs.

Skills

Statistical analysis

Data wrangling

Reproducible workflows

Data visualization

Education

Advanced degree in Biostatistics/Health Statistics/Epidemiology/Public Health

Tools

R

Python

SQL

Tableau/Power BI

Job description

Job Description - National Consultant - Data Specialist, Philippines (2604327)

National Consultant - Data Specialist, Philippines - ( 2604327 )

Contractual Arrangement : External consultant

Contract Duration (Years, Months, Days) : 10 months

Job Posting

Oct 6, 2026, 2:31:08 AM

Closing Date

Oct 20, 2026, 9:59:00 PM

Primary Location

Philippines-Manila

Organization

WP_PHL Philippines

Schedule

Full-time

IMPORTANT NOTICE: Please note that the deadline for receipt of applications indicated above reflects your personal device's system settings.

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.

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, November 2026 to September 2027