Data Analytics Fellow at PATH

Job Title: Data Analytics Fellow at PATH

Date Posted: 23rd February, 2026.

Expiry Date: February 27, 2026

About the Job

PATH is a global nonprofit dedicated to achieving health equity. With more than 40 years of experience forging multisector partnerships and with expertise in science, economics, technology, advocacy, and dozens of other specialties, PATH develops and scales up innovative solutions to the world’s most pressing heath challenges.

PATH is home to the Malaria Control and Elimination Partnership in Africa (MACEPA) which works closely with National Malaria Control Programs to strengthen data systems and data use to better inform strategies and the targeting of resources to reduce malaria burden. Key components of this work include supporting National Malaria Programs in developing their Global Fund funding requests and national strategic plans, providing technical guidance that leads to high quality implementation of key interventions, and to ensure the resources needed to implement malaria control/elimination interventions are available.

MACEPA is currently recruiting the third cohort of Data Analytics Fellows, to be based within existing MACEPA teams across various African countries. For this round of recruitment, the fellow will be recruited and based in Nigeria where s/he originates from. The aim of the fellowship program is to train a cohort of skilled individuals to support the National Malaria Programs (NMPs) in the management, visualization and analysis of data to improve evidence-based decision-making. The fellow will receive a variety of tailored technical and professional training, alongside mentorship from the MACEPA data analytics team based in the US and in-country staff. By the end of the fellowship, a fellow will ultimately deliver data analytics training to NMPs in collaboration with the analytics team. The position is a fixed-term, non-renewable, eighteen-month contract.

Your Job Description

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 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.

The Job Requirements

Required Skills and Experience

Master’s degree in public health, epidemiology, health-related data science, or a similar field preferred, with at least one year of relevant quantitative experience.
Experience in data management, cleaning, analysis, mapping, and visualization, ideally using R.
Demonstrated oral and written communication skills, including report and paper writing and editing.
Experience preparing and delivering presentations.
Excellent organizational and time management skills, strong attention to detail, and ability to prioritize competing tasks, manage shifting priorities, and meet deadlines.
Ability to work collaboratively in a cross-disciplinary team environment.
Ability to work independently when required, including completing trainings, leading interactions with NMPs, and solving problems independently.
Ability to interact professionally with global colleagues and partners and provide creative solutions.
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 databases.
Experience developing, delivering, or supporting training courses.
Experience using GitHub (please share your GitHub URL with your application if you feel comfortable).

Method of Application: Click on this link to get detailed information and apply