AFENET is a non-profit networking and service alliance of Field Epidemiology (and aboratory) Training Programs (FELTPs), and other applied epidemiology training programs. AFENET has operations in over 31 countries in Sub-Saharan Africa or the World Health Organisation Africa Region (WHO – AFRO). Established in 2005, AFENET is dedicated to helping Ministries of Health in Africa build strong, effective, sustainable programs and capacity to improve public health systems on the African continent. The network’s goal is to strengthen field epidemiology and public health laboratory capacity to contribute effectively to addressing epidemics and other major public health problems in Africa.
We are recruiting to fill the position below:
Job Title: Data Technical Officer II
Location: FCT – Abuja
Key Deliverables
Data analysis products: Timely analytical outputs, data summaries, and insights to support programme decision-making, including inputs to the annual meningitis surveillance report and to vaccine-effectiveness and impact analyses.
Dashboards and visualizations: Functional, user-friendly dashboards and data visualization products tailored to programme and government needs.
Data quality and triangulation: Biweekly data-quality reports, support to the annual data-validation workshop, and triangulation across SORMAS records, line lists, case investigation forms and laboratory databases.
Technical documentation: Clear documentation of applications, workflows, data structures, and user requirements.
Government support: Responsive technical assistance to government counterparts on data systems, analysis, visualization, and data use.
User support and capacity building: Training, onboarding, and troubleshooting support for users of digital tools.
Innovation and continuous improvement: Identification and implementation of opportunities to improve data systems, visualization, and programme data use.
Requirements
Degree in Statistics, Data Science, Information Systems, Computer Science, Public Health Informatics, Epidemiology, Mathematics, or a related field.
Strong analytical and problem-solving skills.
Strong attention to detail
Demonstrable experience with data analysis and visualization.
Familiarity with infectious-disease surveillance data, ideally for meningitis or other epidemic-prone diseases, is an advantage.
Working knowledge of SQL, DHIS2, MS Excel, R and/or other data analysis and visualization tools.
Some experience with database management, digital health/information systems, or application development. Experience with SORMAS or other disease-surveillance information systems is a strong advantage.
Ability to translate programme requirements into practical technical solutions.
Strong communication and stakeholder-engagement skills. Experience working with government or public-sector stakeholders is an advantage.
Working knowledge of AI and emerging data technologies, with the ability to apply AI-enabled tools to data analysis, visualization, automation, and development of innovative digital solutions.
Ability to work independently while collaborating effectively with multidisciplinary teams.