• Bachelor’s degree in Public Health, Epidemiology, Biostatistics, Statistics, Data Science, Business, or International Development
• Minimum of 3 years of pertinent work experience.Established experience in cultivating and sustaining partnerships with governmental entities and/or other intricate organizations.
• Proficiency in Microsoft Word, Excel, and PowerPoint at advanced levels.
• Genuine enthusiasm for employing analytical methods to address global health challenges.
• Experience in carrying out statistical analyses using relevant software (e.g., R, STATA).
• Exceptional written and verbal communication skills, ensuring effective conveyance of complex ideas.
• Capacity to manage multiple tasks concurrently, prioritize effectively, and work autonomously, particularly in remote settings.
• Demonstrated ability to remain effective, patient, and thoughtful in high-pressure situations.
• Adaptability to thrive in a fast-paced and multicultural environment.
• At least basic knowledge in gender, equity and diversity at the intersection of health interventions
• Fluency in English (written and oral) is mandatory, with French language proficiency considered advantageous but not obligatory.
• Willingness and ability to travel within Sierra Leone at up to 40% of the time, based on program requirements.
• This role demands a versatile individual committed to utilizing advanced analytical skills and fostering collaborations to address health challenges effectively.

Advantages

• Knowledge of major global infectious disease problems, preferably malaria and NTDs

• Demonstrated expertise in epidemiological and spatial analysis of disease data is essential.
• Proven track record in disease surveillance and enhancing information systems to strengthen public health initiatives

• Experience or knowledge of health finance, public finance, or finance for development.Experience working with surveillance platforms (e.g., DHIS2), data collection tools (e.g., ODK) and/or data visualization applications (e.g., Tableau).
• Experience in gender analysis