Job Opportunities API

The Public Ledger of Openings

← Back to the ledger

MEL Associate, Program Analytics and Learning Unit (PALU)

MCD Global Health
CompanyMCD Global Health
CategoryData & Analytics
LocationRemote within United States
RemoteRemote
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted
Last verified30 Jul 2026
SourceEmployer career page (recruitee)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
Our Vision & Mission We envision a world in which all people have access to high quality and enduring solutions to improve and maintain their health and well-being. MCD Global Health aspires to be a premier partner of choice and a recognized leader, innovator, and trusted partner in healthcare and public health program development, implementation, and evaluation. Our mission is to improve the health and well-being of people worldwide through enduring, high-quality, cost-effective, and universally accessible public health solutions. MCD operates impactful programs both in the U.S.A. and internationally. About the Position The Monitoring, Evaluation, and Learning (MEL) Associate supports the design, implementation, and continuous improvement of the PALU framework across MCD International’s portfolio. The MEL Associate reports directly to the PALU SPM to contribute to the automation of data workflows, dashboard development, data cleaning, and descriptive analytics for project teams. This is a hands-on builder role: the emphasis is on writing reliable, replicable code to automate processes, turn raw field data into usable outputs, and ship working tools quickly. While the SPM sets the position’s priorities, the Associate also functions as a shared technical resource—providing automation and pipeline support to the DHTIS Lead, dashboard and descriptive-analysis support to the MEL Lead, and data-cleaning and form-building support to project staff.  In this role, the MEL Associate assists in troubleshooting and strengthening data systems, supports the development of data collection tools, and ensures these tools are used adequately by field teams to guarantee organizational MEL standards. The position also collaborates with other units, including the PIU, the TAIU, and the BDU, to integrate evidence-based insights into project decision-making and proposal development. MEL Associate, Program Analytics and Learning Unit (PALU) Grade Level: 3 Anticipated Salary: $60,000.00 - $75,000.00 Reporting Relationship: Senior Program Manager (SPM), Program Analytics and Learning Unit Working Environment Remote position requiring virtual collaboration across global time zones. International travel (up to 5–10%) may be required to provide field support, conduct trainings, or attend project meetings. Fast-paced environment balancing independent analytical work with close coordination under supervision. Physical Requirements Prolonged computer use for data analysis and virtual meetings. Willingness to maintain a flexible schedule to accommodate diverse global teams. Capacity to travel to remote or resource-limited settings as needed. Key Responsibilities Analyze and transform program data using R and/or Python to generate actionable insights and support decision-making. Develop and maintain ETL pipelines, dashboards, and automated reporting solutions in collaboration with the DHTIS Lead. Design, build, test, and maintain digital data collection tools, including ODK/XLSForms and DHIS2 forms. Monitor data quality, conduct data validation, and ensure compliance with MCD MEL standards and donor requirements. Support field teams through technical assistance, training, and the development of guidance materials to strengthen data use. Collaborate with cross-functional teams to integrate MEL priorities into program implementation and business development activities. Contribute to proposal development, technical reports, presentations, and organizational learning initiatives. Identify opportunities to improve data workflows, automation, and digital systems Requirements Education Bachelor’s degree in a quantitative field (e.g., Public Health, Epidemiology, Data Science, Statistics) or related discipline. Master’s degree preferred (e.g., MPH, MSc in Biostatistics, or similar), especially with coursework in research methods and advanced analytics. Exper
HOUSE AD995,367 openings. Erioun finds yours.Scored against your own profile, every hour.Try the radar →