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Data Analysis Coordinator, MMS & SQ-LNS (Consultant) - Oyo
About this role
The role is a consultant position based in Oyo for Data Analysis coordination across MMS and SQ-LNS programs. You will manage the end-to-end data pipeline, including building SurveyCTO forms, cleaning and analysing field data, and delivering decision-ready outputs such as reports, dashboards and packs. You will be part of Evidence Action’s Monitoring, Learning and Evaluation team and work with Field Operations and program teams, reporting to the MLE Manager. The job requires fast turnaround and high accuracy in monitoring data analysis for health and nutrition programs in Nigeria. No direct reports are listed for this position.
What you would do
- Analyse MMS monitoring data for rounds across facilities and states
- Analyse SQ-LNS health facility monitoring data each quarterly round
- Compute indicators by state, LGA and facility and assess stock and distribution factors
- Perform descriptive and inferential analyses and interpret results for program action
- Support MMS coverage survey and SQ-LNS endline survey data quality and analysis
- Produce outputs including cleaned data, topline summaries and full analyses
- Create state and LGA data packs and quarterly performance reports
- Develop dashboards, maps and visualisations for program and government audiences
- Prepare plain-language summaries and slides with key findings and actions
- Respond to data requests and maintain reproducible data pipelines and documentation
What they are asking for
- Bachelor's degree in statistics, economics, data science, public health or other quantitative field
- Master’s degree in a quantitative field is an added advantage
- At least 5 years of data management and analysis experience in health or nutrition programs
- Proficiency in Stata and/or R with reproducible coding practices
- Experience with mobile data collection tools (SurveyCTO preferred) and high-frequency checks
- Strong descriptive and basic inferential analysis skills
- Advanced Excel; dashboard/visualisation experience (Power BI, R Shiny or Tableau)
- Ability to automate routines and use AI tools for data cleaning and reporting
- Strong written and verbal communication skills for non-technical audiences
- Detail-oriented, proactive, able to meet deadlines and manage multiple data streams
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