HIV Statistics Consultant

The HIV Statistics Consultant will support data analyses and database management of HIV related indicators, ensuring quality assurance of data and assisting in the analysis of core HIV intervention coverage results to inform corporate reports and strategic plans. The role involves communicating findings through various media and supporting interagency activities related to HIV/AIDS data analytics.

Responsibilities

• Support data analyses and database management of HIV related indicators of primary concern to UNICEF, including quality assurance of data.
• Assist in the analysis of core HIV intervention coverage results to inform corporate reports and the strategic Plan.
• Communicate and disseminate findings through different types of media (e.g. webinars, website and corporate reports).
• Support other interagency related activities as guided.

Requirements

• Advance University Degree (Masters) 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).
• 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.
• Excellent written and spoken English

Skills

• Epidemiology
• Public Health Analytics
• Demographic Analysis
• Advanced Statistics
• Biostatistics
• Health Data Analytics
• R Programming
• Python Programming
• STATA
• Data Visualization
• Shiny
• Tableau
• Infogram
• Statistical Analysis
• Household Survey Analysis
• DHS Data
• PHIA
• Administrative Data Analysis
• DHIS2 Knowledge
• HMIS
• HIV/AIDS Data Analysis
• Report Writing
• Dashboard Development
• Database Management
• Git
• GitHub
• Version Control Systems
• Cloud Data Storage
• Cloud Data Processing
• Quantitative Analysis
• Qualitative Analysis
• Data Quality Assurance
• Cross-Functional Collaboration
• MICS Data
• HIV Indicators

Languages

English