The MEL Data Science Officer is part of the Global MEL team, strengthening Orbis’s MEL systems through data engineering, analytics, automation, and governance. The Officer supports data integration across systems and countries to enable timely insights.

Orbis is an international nonprofit delivering sight-saving programs in over 200 countries and territories worldwide so that individuals, families, and communities can thrive.

The MEL Data Science Officer supports Orbis’s global MEL function by designing and maintaining data pipelines, automated reporting systems, and analytical solutions that enhance MEL data quality, accessibility, and interoperability. This role builds standardized data models, maintains Dataverse structures, implements ETL processes, and develops Power BI dashboards that support monitoring, reporting and performance analysis across Orbis’s global programs.

This is a hands-on technical role requiring expertise in Power BI, Dataverse, SQL, Python, Azure Synapse, Power Automate, and data engineering. The Officer collaborates with MEL teams, program teams and the IS/IT unit to ensure that MEL data systems are reliable, efficient, and aligned with global reporting requirements. This role does not supervise staff but provides high-level technical support, training and troubleshooting to MEL stakeholders globally.