National Consultant - Data Specialist

Global Roles; Manila; On-site; PHP 900,000 - 1,200,000; Full time

Job summary

Global Roles seeks a senior health data analyst to support WHO M&E activities in the Philippines, handling data wrangling, quality control, and reproducible workflows.

The role involves statistical modelling, dashboard development, and producing decision-ready data products for DOH, LGUs, and partners, with emphasis on clear documentation.

Qualifications

• Master's degree in Biostatistics, Public Health, or related field.
• Minimum 5 years of health data analysis experience.
• Proficiency in R or Python and SQL.
• Experience producing dashboards and decision-ready data products.
• Experience with WHO, UN agencies, or government health programs is desirable.
• Ability to communicate complex results to non-technical audiences.

Responsibilities

• Provide hands-on operational M&E support including data wrangling and quality checks.
• Compile, clean, and validate data from DOH systems, PSA, and LGU datasets.
• Conduct statistical analysis and simple modelling including time-series and cohort analysis.
• Develop clear, decision-friendly visualization products.
• Prepare technical reports summarizing methods, results, limitations, and recommendations.
• Engage stakeholders to validate findings and gather contextual insights on LGU data-use practices.

Skills

Biostatistics

Health Statistics

Epidemiology

Public Health

Data Science

Statistical Modelling

Health Informatics

Data Visualization

Applied Analytics

Health Data Analytics

Epidemiological Analytics

Dashboard Development

R Programming

Python Programming

SQL

Statistical Methods

Health Information Systems

Reproducible Research

Data Documentation

Education

Master's degree in Biostatistics or related field

Tools

R

Python

SQL

Job description

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 support health outcomes and Universal Health Care priorities.

Responsibilities

• Provide hands-on operational M&E support including data wrangling, quality checks, metadata documentation, and reproducible workflows.
• Compile, clean, and validate data from multiple sources such as DOH systems, PSA, and LGU datasets.
• Conduct statistical analysis and simple modelling including target population estimation, time-series, and cohort analysis.
• Perform data quality checks and document data sources and assumptions.
• Contribute to analytical summaries, reports, and documentation for M&E activities.
• Develop clear, decision-friendly visualization products.
• Contribute to methods briefs, analysis notes, and reproducible code repositories.
• Develop data quality control mechanisms and frameworks for monitoring datasets.
• Assist in routine analysis and updating/structuring of monitoring datasets including preparation of tables and summaries for reporting.
• Submit complete reproducible code packages including scripts, assets, and documentation.
• Conduct consultations with key stakeholders to validate findings and gather contextual insights on LGU data-use practices.
• Draft analytical reports synthesizing findings from surveys, interviews, and documents.
• Provide recommendations to strengthen data-use culture addressing bottlenecks and duplication points.
• Prepare methodology and analysis plans including assumptions and data inputs for target population estimation.
• Conduct analysis and produce cleaned scripts and outputs for target population estimation.
• Prepare technical reports summarizing methods, results, limitations, and recommendations.
• Support 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.

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