HIV Data Analytics Consultant

The HIV Data Analytics Consultant supports countries to design, adapt, and implement cross-cutting analytics within AHEAD, focusing on HIV and its integration with other priority health areas. The consultant works with UNICEF country teams and national counterparts to deploy automated data pipelines, analyze health data, and translate findings into actionable insights for policy and program planning.

Responsibilities

• Support countries to design, adapt, and implement cross-cutting analytics within AHEAD, focusing on HIV and integration with other health areas.
• Work with UNICEF country teams and national counterparts to adapt and deploy automated, reproducible data pipelines.
• Harmonize, quality-assure, and analyze data from HIV and other relevant health services including immunization, nutrition, and MNCAH.
• Translate analytical findings into actionable insights for policy, programme planning, and implementation.
• Strengthen country capacity to generate, interpret, and use integrated data equity-focused and systems-oriented analytics across UNICEF’s health portfolio.
• Support institutionalization and sustainable use of AHEAD approaches within national systems.

Requirements

• Master’s University degree in epidemiology, public health, Demography, Applied Statistics, Biostatistics, or a closely related health analytics field.
• At least 4 years of experience in data analytics, preferably in the health sector.
• Documented proficiency in R, Python or STATA as well as data visualization tools (Shiny, Tableau, Infogram).
• Experience conducting statistical analysis of household surveys (MICS, DHS, PHIA) and administrative data (DHIS2/HMIS).
• Excellent written and oral communication of technical content in English. Proficiency in another UN language is highly desirable.
• Hands-on experience conducting statistical analysis of HIV/AIDS related data and the production of key reports and associated analytic products and dashboards.
• Proven experience maintaining global databases on HIV/AIDS related indicators, including HIV estimates.
• Experience working with Git/GitHub for version control.
• Hands on experience with cloud services for data storage and processing.
• Experience working in or with low- and middle-income countries is highly desirable.
• Technical knowledge of current quantitative and qualitative analytical approaches, tools, and practices.
• Excellent communication skills, with the ability to present complex data insights to non-technical stakeholders.
• Strong problem-solving skills and the ability to work independently.
• Ability to collaborate effectively with cross-functional teams and diverse stakeholders.

Skills

• Epidemiology
• Public Health Analytics
• Data Analytics
• Statistical Analysis
• Household Survey Analysis
• HIV/AIDS Data Analysis
• R Programming
• Python Programming
• STATA
• Data Visualization
• Shiny
• Tableau
• Infogram
• DHIS2 Knowledge
• HMIS
• Git
• GitHub
• Cloud Data Storage
• Cloud Data Processing
• Quantitative Analysis
• Qualitative Analysis
• Dashboard Development

Languages

English