HIV Data Analytics Consultant

UN Atlas; Firenze; Remote; EUR 40,000 - 69,000; Full time

Job summary

UN Atlas is seeking a data analytics consultant to design and implement cross-cutting analytics within the AHEAD system, with a focus on HIV and its integration with other health areas. You will work with UNICEF country teams to deploy automated, reproducible data pipelines and harmonize data from HIV programs for policy and planning.

The role requires translating complex analyses into actionable insights, strengthening country capacity to generate integrated, equity-focused analytics, and

Qualifications

• At least 4 years of experience in data analytics, preferably in health.
• Proficiency in R, Python or STATA, and data visualization tools (Shiny, Tableau, Infogram).
• Experience conducting statistical analysis of household surveys (MICS, DHS, PHIA) and administrative data (DHIS2/HMIS).

Responsibilities

• Support cross-cutting analytics within the AHEAD system with a focus on HIV and integration with other health areas.
• Tailor and deploy automated, reproducible data pipelines in collaboration with UNICEF country teams.
• Harmonize and analyze data from HIV services and other health programs to inform policy and program planning.
• Translate complex analytics into clear, actionable insights for decision-making and capacity strengthening.

Skills

Data analysis

R

Python

STATA

Shiny

Tableau

Infogram

Statistical analysis

Household surveys

Administrative data

DHIS2/HMIS

Git/GitHub

Job description

Work arrangement Remote / Home-based

Organizational Context

UNICEF operates in over 190 countries, dedicated to saving children's lives, defending their rights, and helping them fulfill their potential. The Office of Strategy and Evidence (OSE) provides global leadership in evidence generation and use, with the Data and Analytics Section serving as the primary source of global statistics on children. The Integrated Health Analytics (IHA) unit embeds analytics into decision-making to track SDG progress and improve health programs.

Job Purpose

The purpose of this consultancy is to support countries in designing, adapting, and implementing cross-cutting analytics within the AHEAD system, with a specific focus on HIV and its integration with other priority health areas. The consultant will collaborate with UNICEF country teams and national counterparts to adapt and deploy automated, reproducible data pipelines. This involves harmonizing, quality-assuring, and analyzing data from HIV and other relevant health services, such as immunization, nutrition, and maternal, newborn, and child health (MNCAH). The role requires translating analytical findings into actionable insights for policy, program planning, and implementation. Ultimately, this work aims to strengthen country capacity to generate, interpret, and use integrated, equity-focused, and systems-oriented analytics across UNICEF’s health portfolio, supporting the institutionalization and sustainable use of AHEAD approaches within national systems.

Responsibilities

Support countries in adapting and implementing cross-cutting analytics within the AHEAD system, with a primary focus on HIV and its integration with other key health areas. This includes working closely with UNICEF country teams and national counterparts to tailor and deploy automated, reproducible data pipelines. The consultant will be responsible for harmonizing, quality-assuring, and analyzing data derived from HIV services and other relevant health programs, such as immunization, nutrition, and MNCAH. A key aspect of the role involves translating complex analytical findings into clear, actionable insights that can inform policy decisions, program planning, and implementation strategies. The consultancy will also focus on strengthening country-level capacities for generating, interpreting, and utilizing integrated data. This involves promoting equity-focused and systems-oriented analytics across UNICEF’s health portfolio. The consultant will contribute to the institutionalization and sustainable use of AHEAD approaches within national health information systems, ensuring long-term impact and data-driven improvements in child health outcomes.

Work Experience

At least 4 years of experience in data analytics, preferably in the health sector. Documented proficiency in R, Python or STATA, and data visualization tools (Shiny, Tableau, Infogram). Experience conducting statistical analysis of household surveys (MICS, DHS, PHIA) and administrative data (DHIS2/HMIS).

Skills

Data analysis, R, Python, STATA, Shiny, Tableau, Infogram, Statistical analysis, Household surveys, Administrative data, DHIS2/HMIS, Git/GitHub

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