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Data Analysis Coordinator, MMS & SQ-LNS (Consultant) - Jigawa
About this role
The role is for a Data Analysis Coordinator (Consultant) in the MMS and SQ-LNS programs, based in Jigawa. The successful candidate will manage end-to-end monitoring data pipelines, including survey tool setup, data cleaning, analysis, and creating decision-ready outputs such as reports, dashboards and facility lists. The position sits within Evidence Action’s Monitoring, Learning and Evaluation team for West and Central Africa, collaborating with Field Operations and program teams. There are no direct reports; the role reports to the MLE Manager. The assignment requires delivering timely, high-quality data analysis to inform program actions and donor reporting.
What you would do
- Analyse MMS monitoring data for multiple states including baseline and follow-up facility data
- Analyse quarterly SQ-LNS health facility monitoring data by state, LGA and facility
- Calculate indicators such as ANC attendance, MMS coverage, stock status, and training and dosing metrics
- Run descriptive and basic inferential analyses and interpret results for program action
- Support MMS coverage survey processing and quality checks, including survey-weighted estimates
- Support SQ-LNS endline household survey through data quality checks and analytical support
- Produce outputs such as cleaned datasets, topline summaries, dashboards, and need-to-follow-up data packs
- Prepare quarterly performance reports and priority-facility lists
- Build dashboards, maps and plain-language visuals for program/government audiences
- Maintain reproducible data pipelines and documentation; manage data securely and handover readiness
What they are asking for
- Bachelor's degree in Statistics, Economics, Data Science, Public Health, Epidemiology or another quantitative field
- At least 5 years of data management and analysis experience in health or nutrition programs, preferably in Nigeria
- Proficiency in Stata and/or R with reproducible scripting experience
- Experience with mobile data collection platforms (SurveyCTO preferred) and form programming
- Strong descriptive and basic inferential analysis skills; advanced Excel skills
- Experience building dashboards/visualisations (Power BI, R Shiny, Tableau)
- Ability to use AI tools and automation to speed up data cleaning and reporting
- Strong communication skills to explain results to non-technical audiences
- Attention to detail, urgency, self-direction and ability to manage multiple data streams
- Willingness to travel up to 20% and legal authorization to work in Nigeria
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