Data Analytics Fellow, Malaria Control and Elimination Partnership in Africa (MACEPA) at PATH Nigeria

PATH is a global organization that works to accelerate health equity by bringing together public institutions, businesses, social enterprises, and investors to solve the world’s most pressing health challenges. With expertise in science, health, economics, technology, advocacy, and dozens of other specialties, PATH develops and scales solutions including vaccines, drugs, devices, diagnostics, and innovative approaches to strengthening health systems worldwide.

We are recruiting to fill the position below:

Job Title: Data Analytics Fellow, Malaria Control and Elimination Partnership in Africa (MACEPA)

Job Requisition ID: JR2416
Location: Abuja

Responsibilities 

• Support NMP and partners to assemble and manage data repositories. 
• Design and implement evaluations of routine surveillance, intervention, and commodity data to inform decision-making. 
• Produce monthly reports describing the malaria situation based on the analyses of routine data and other relevant datasets. 
• Develop dashboards for the visualization of routine data. 
• Build strong relationships with the NMP and respond to requests for data investigations and analyses relevant to key programmatic issues. 
• Contribute to and support the facilitation of data review meetings with the NMP. 
• Undertake structured training across a range of core areas including advanced data analytics, malaria epidemiology, presentation and report writing. 
• Deliver capacity strengthening in data analytics training to the NMP and local partners. 
• Support data aspects of Sub-National Tailoring (SNT) including assembling, cleaning, processing and visualizing data, and contributing to SNT meetings.  
• Maintain regular communication with US-based data analysis team, data analytics fellow’s cohort, and MACEPA in-country teams. 

Required Skills and Experience 

• Master’s Degree in Public Health, Epidemiology, Health-related Data Science or similar field preferred, plus at least one year of relevant quantitative experience. 
• Experience in data management, cleaning, analysis, mapping, and visualization (ideally in R). 
• Demonstrated oral and written communications skills, including report/paper writing and editing. 
• Experience preparing and delivering presentations. 
• Excellent organization, time management, attention to detail, ability to appropriately prioritize competing tasks, manage shifting priorities, and meet deadlines. 
• Ability to work in a collaborative environment and as part of a cross-disciplinary team. 
• Ability to work independently when required – including undergoing trainings, leading interactions with NMPs, independent problem solving. 
• Ability to interact with global colleagues and partners and provide creative solutions in a professional manner. 
• Willingness and ability to travel, estimated at 10% of the time. 
• Female candidates are strongly encouraged to apply for this position.

Preferred skills:

• Experience working with DHIS2 or similar national surveillance database  
• Experience developing, delivering or supporting training courses 
• Experience using github (please share your github url with your application if you feel comfortable).

Application Closing Date
27th February, 2026.