National Consultant - Data Specialist

This consultancy provides operational M&E and data management support to the WHO M&E team in the Philippines, contributing to routine monitoring activities, data product development, and analytical workstreams to strengthen evidence-based decision-making and health outcomes tracking.

Responsibilities

• Provide 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.
• Develop data quality control-related mechanisms and framework.
• Assist in routine analysis and updating/structuring of monitoring datasets, including preparation of tables, summaries, and basic analytical outputs for internal use and reporting.
• Submit a complete reproducible code package including scripts, assets, and documentation.
• Conduct consultations with key stakeholders to validate findings and gather contextual insights on LGU data-use practices.
• Draft an analytical report synthesizing findings from DOH/WHO-provided materials such as surveys, interviews, and documents.
• Provide a structured set of recommendations addressing bottlenecks, duplication points, and opportunities to strengthen data-use culture.
• Prepare methodology and analysis plan for target population estimation including assumptions and data inputs.
• Conduct analysis and produce cleaned scripts and outputs for target population estimation.
• Prepare a short technical report summarizing methods, results, limitations, and recommendations.
• Provide support in scheduling, preparation, and coordination of meetings for data group coordination.
• Maintain and update coordination trackers, timelines, and follow-up activity lists.
• Facilitate stakeholder consultations and feedback sessions with DOH, LGUs, and partners as part of coordination.

Requirements

• Advanced degree (master’s or higher) in Biostatistics, Health Statistics, Epidemiology, Public Health, or a closely related quantitative health field.
• Additional formal training in data science, statistical modelling, or health informatics is desirable.
• Coursework or certification in data visualization or advanced analytics is desirable.
• Minimum 5 years of progressively responsible experience in health data analysis, statistical modelling, or epidemiological analytics.
• Demonstrated experience producing decision-ready data products such as factsheets, dashboards, and briefs.
• Proficiency in R or Python or other similar software, plus experience with SQL and data visualization tools.
• Experience working with WHO, UN agencies, or government health programs is desirable.
• Experience applying statistical methods to LGU-level or subnational data is desirable.
• Familiarity with health information systems in the Philippines is desirable.
• 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.
• Expert knowledge of English (Read/Write/Speak)

Skills

• Biostatistics
• Health Statistics
• Epidemiology
• Public Health
• Data Science
• Statistical Modelling
• Health Informatics
• Data Visualization
• Applied Analytics
• Health Data Analytics
• Epidemiological Analytics
• Decision-ready Data Products
• Dashboard Development
• R Programming
• Python Programming
• SQL
• Statistical Methods
• Health Information Systems
• Reproducible Research
• Data Documentation

Languages

English