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Data Analysis Coordinator, MMS and SQ-LNS (Consultant) - Jigawa
About this role
A Data Analysis Coordinator (Consultant) in Jigawa will join Evidence Action’s Monitoring, Learning and Evaluation team to manage the end-to-end data pipeline for MMS and SQ-LNS programs. The role focuses on building and maintaining data collection tools, cleaning and analysing field data, and delivering decision-ready outputs such as reports, dashboards and facility lists. You will work with the MLE Field Operations team and program teams, ensuring timely, accurate data analysis and clear communication of findings. It is a hands-on, fast-paced role requiring speed and accuracy with multiple data streams. This is a contract position with travel to programme states up to 20%.
What you would do
- Apply quality checks to every dataset before analysis.
- Clean and analyse quarterly SQ-LNS health facility data across states.
- Calculate indicators by state, LGA and facility (ANC attendance, MMS coverage, stock, etc.).
- Build and update dashboards, maps and simple visualisations.
- Support MMS coverage surveys with data processing and weighting.
- Share daily feedback with Field Operations to fix issues in the field.
- Produce quarterly performance reports and priority facility lists.
- Develop reproducible cleaning and analysis pipelines in Stata or R.
- Analyse MMS data rounds including baseline and monitoring activities.
- Explain results to non-technical audiences and link to actions.
What they are asking for
- Bachelor's degree in statistics, economics, data science, public health, epidemiology or related quantitative field.
- Master's degree in a quantitative field is an added advantage.
- At least 5 years' experience in data management and analysis for health or nutrition programs in Nigeria.
- Proven ability to deliver accurate analysis under tight deadlines with multiple data streams.
- Proficiency in Stata and/or R for data cleaning and analysis; reproducible scripts.
- Experience building dashboards/visualisations (Power BI, R Shiny, Tableau).
- Experience with mobile data collection platforms (SurveyCTO preferred) including form programming.
- Advanced Excel skills.
- Ability to use AI tools and automation for data cleaning and reporting.
- Strong communication skills to present findings to non-technical audiences.
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