Collaborate with RTSL HQ-based staff and in-country embedded teams on data analytics innovations and delivery.
Development of innovative data use products, including enhanced outbreak situation reports, periodic epidemiological bulletins, and executive dashboards, to facilitate decision-making.
Implementation of automated production pipelines for data use products, supported by comprehensive documentation and Standard Operating Procedures (SOPs).
Technical accompaniment, capacity building, and knowledge transfer, including providing hands-on technical mentorship on data use capstone projects.
Training in-country embedded teams on the use of digital tools, such as DHIS2, Emergency Management System (EMS), R and R markdown for data management, analytics, GIS, and data product generation.

Master’s degree or higher in a relevant field (e.g., public health, epidemiology, informatics, statistics) and at least 5 years of experience in infectious disease surveillance and analytics, or equivalent experience
Demonstrated experience designing, producing, and implementing end-to-end public health information products (e.g., epidemiological bulletins, outbreak situation reports) with the ability to translate complex data into decision-ready outputs and ensure sustainable handover through clear documentation and SOPs
Proficiency in R and R Markdown/Quarto for data management, analysis, and automated report generation; familiarity with DHIS2 is an advantage
Proven ability to technically accompany and mentor multidisciplinary in-country teams in low
and middle-income countries, building their capacity to lead data use projects, applying systems thinking and design thinking approach, with a strong emphasis on progressive knowledge transfer and developing local ownership of analytical workflows.
Excellent communication, presentation and interpersonal skills for engaging and influencing government counterparts, non-governmental partners, civil society organizations, donors, and multilateral agencies
Comfort operating in a remote and distributed work environment, with the ability to provide high-quality technical accompaniment through virtual channels
Proficiency in French or Portuguese is highly desirable.

Global Consultant, Data Use and Decision Science

Key skills