Orbis International · 2 days ago
MEL Data Science Officer, Global MEL
Orbis International is a global organization focused on strengthening Monitoring, Evaluation and Learning (MEL) systems. The MEL Data Science Officer will enhance data infrastructure and support the integration of MEL data across systems, ensuring reliable and actionable program performance information.
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Responsibilities
Design, document and maintain scalable data pipelines connecting MEL datasets across Spectrum, Dataverse, Azure Synapse and other systems
Develop standardized MEL data models and schema aligned with Orbis’s global indicators and results frameworks
Implement ETL/ELT processes using SQL, Python, Azure Synapse, Databricks and Data Lake
Maintain Dataverse tables, relationships, business rules and security structures for MEL data
Apply data governance practices including version control, documentation, validation scripts and audit trails
Collaborate with IT/IS teams to ensure secure, reliable data architecture and interoperability between systems
Conduct routine data validation, completeness checks and integrity assessments within MEL systems
Develop automated scripts and routines (SQL, Python, DAX, VBA) to support MEL reporting and anomaly detection
Build Power Automate workflows, AI Builder models and automation pipelines that streamline MEL processes
Maintain metadata documentation, data dictionaries and SOPs to enhance data transparency and traceability
Monitor and optimize data refresh cycles in Dataverse and Power BI
Support predictive analytics or AI-assisted MEL use cases where appropriate
Design, build and maintain Power BI dashboards for monitoring program performance, indicators and outcomes
Implement advanced dashboard features including role-level security, drill-through functionality, advanced DAX, and optimized data models
Develop standardized visualization templates for quarterly and annual MEL reporting
Ensure accuracy, consistency and usability of dashboard outputs through rigorous validation
Troubleshoot dashboard performance and refresh issues across multiple countries and teams
Provide hands-on technical support to MEL and country teams on data extraction, dashboard use, indicator mapping and system navigation
Conduct training sessions on Power BI, Dataverse, SQL, and MEL data workflows for MEL officers and program teams
Troubleshoot user issues and provide timely technical assistance to ensure smooth tool adoption
Collaborate with program and MEL teams to co-create tailored analytical solutions
Support MEL learning initiatives by preparing data-driven insights, visualizations and performance summaries
Qualification
Required
Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Statistics, or related technical field
4–7 years of experience in data engineering, analytics, automation or enterprise systems integration
Proven hands-on experience with Power BI, Power Automate, Dataverse, Power Apps and the Microsoft Power Platform
Strong expertise in SQL, Python, ETL design, data modeling and data warehousing
Experience with Azure ecosystem (Azure Synapse, Data Lake, Azure Functions, Azure Storage)
Familiarity with data governance, data validation, metadata management and API integrations
Experience developing automated reporting systems and dashboards supporting program monitoring
Strong communication skills in English
Preferred
Experience working with global health, development or multi-country program data is an advantage
Company
Orbis International
Orbis International is an international non-profit organization dedicated to saving sight worldwide.
H1B Sponsorship
Orbis International has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (1)
Funding
Current Stage
Growth StageLeadership Team
Recent News
2026-01-07
2025-11-05
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