Data Analysis Coordinator, MMS and SQ-LNS (Consultant) - Abuja

About this role

The role is for a Data Analysis Coordinator (Consultant) within Evidence Action, based in Abuja. You will join the Monitoring, Learning and Evaluation team and manage end-to-end data pipelines for MMS and SQ-LNS programs, including building data collection tools, cleaning data, and delivering analysis outputs such as dashboards and reports. The position reports to the MLE Manager and involves collaboration with Field Operations and program teams, with a focus on timely, accurate data analysis. The role requires strong data management and analytical skills, and readiness to work across multiple data streams and states. The contract looks for a candidate able to produce reproducible work and to communicate findings to non-technical audiences, with occasional travel up to 20% to program states."

What you would do

• Clean and analyse each round of MMS data across specified areas.
• Maintain codebooks, cleaning logs and analysis documentation.
• Contribute data inputs to donor reports and learning products.
• Design and manage digital data collection tools and high-frequency checks.
• Build and test SurveyCTO forms with appropriate logic and checks.
• Calculate indicators by state, LGA and facility.
• Ensure secure data handling and document handover processes.
• Produce high-frequency outputs, datasets and topline summaries for each round.
• Produce quarterly performance reports and priority facility lists.
• Organise and store data files on approved platforms following protocols.

What they are asking for

• Master's degree in a quantitative field is an added advantage; Bachelor's in Statistics, Economics, Data Science, Public Health, Epidemiology or similar.
• At least 5 years of experience in data management and analysis for health or nutrition programs in Nigeria.
• Advanced Excel skills; experience with SurveyCTO/ODK/KoBo and form programming.
• Experience building dashboards and visualisations (Power BI, R Shiny, Tableau).
• Proficiency in Stata and/or R for data cleaning and analysis; ability to write reproducible scripts.
• Strong descriptive and basic inferential analysis knowledge.
• Ability to use AI tools to speed up data cleaning and reporting.
• Excellent written and verbal communication for non-technical audiences.
• Willingness to travel up to 20% and familiarity with Nigerian health information systems.
• Legal authorization to work in Nigeria.

Listing details are summarised from the source. Always confirm the role and the employer on the original posting before applying, and never pay to apply for a job.