Data Analysis Coordinator, MMS & SQ-LNS (Consultant)

About the Role

Evidence Action is seeking a detail-oriented Data Analysis Coordinator (Consultant) to drive our monitoring, learning, and evaluation efforts for Maternal Micronutrient Supplementation (MMS) and Small-Quantity Lipid-Based Nutrient Supplementation (SQ-LNS) programs in Nigeria. You will own the end-to-end monitoring data pipeline—from building SurveyCTO forms to delivering rapid, decision-ready insights for health programs.

• Manage end-to-end monitoring data pipelines, ensuring high-speed and accurate data cleaning and analysis for MMS and SQ-LNS programs.
• Design, test, and deploy SurveyCTO forms and run automated high-frequency checks to provide daily feedback to field operations.
• Calculate key program indicators, conduct descriptive and basic inferential analysis, and produce decision-ready reports, review-meeting packs, and dashboards.
• Maintain reproducible, version-controlled cleaning and analysis scripts in Stata or R and ensure secure handling of data following strict protocols.
• Collaborate closely with MLE field teams, program staff, and government counterparts to translate data findings into actionable public health strategies.

• Bachelor's degree in Statistics, Economics, Data Science, Public Health, or a related quantitative field; a Master's degree is a strong advantage.
• At least 5 years of professional experience in data management and analysis for health or nutrition programs in Nigeria.
• Hands-on proficiency in Stata or R, mobile data collection tools like SurveyCTO, and dashboard creation platforms (Power BI, Tableau, or R Shiny).
• Familiarity with Nigerian health information systems, maternal and child nutrition data, and GIS mapping tools.
• Legal authorization to work in Nigeria with willingness to travel up to 20% to program states.

• Competitive consultancy remuneration package commensurate with experience.
• Opportunity to contribute directly to high-impact public health initiatives reaching millions across Nigeria.
• Professional growth within a globally recognized, evidence-driven international non-governmental organization.

Skills