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Team Tagline
About the role
Evidence Action supports the Government of Nigeria to deliver two high-impact maternal and child nutrition programs: Multiple Micronutrient Supplementation (MMS) for pregnant women and Small-Quantity Lipid-based Nutrient Supplements (SQ-LNS) for children aged 6-18 months. The Data Analysis Coordinator will own the end-to-end monitoring data pipeline for both programs, sitting within the Monitoring, Learning and Evaluation (MLE) team for West and Central Africa. This is a contract consultant role based in Jigawa, Nigeria.
Required Skills
Preferred Skills
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Responsibilities
- Clean and analyze MMS monitoring data (FCT, Oyo, Jigawa) including baseline ANC register extraction, sentinel facility transition, spot-check visits, and bottle-weighing adherence observations
- Clean and analyze quarterly SQ-LNS health facility monitoring data across supported states
- Calculate key indicators by state, LGA, and facility (ANC attendance, MMS coverage, stock status, coverage of eligible children, stockout history, retention, staff knowledge, distribution challenges)
- Run descriptive and basic inferential analysis (proportions with confidence intervals, cross-tabulations, trend/subgroup comparisons, simple regression) and interpret results for program action
- Support MMS coverage survey with processing, quality checks, and survey-weighted estimates
- Support SQ-LNS endline household survey (early 2027) by monitoring high-frequency checks, reviewing anthropometric data quality, and providing analytical support
- Produce high-frequency check outputs, cleaned datasets, topline summaries, and full analysis outputs within turnaround times
- Prepare state and LGA review-meeting data packs
- Produce quarterly performance reports and priority-facility lists flagging facilities and supply chain gaps
- Build and update dashboards, maps, and visualizations for program and government audiences
- Write plain-language summaries and slides leading with key findings and recommended actions
- Contribute data inputs to donor reports, memos, and learning products
- Flag unexpected patterns, anomalies, or emerging trends to MLE Manager and program teams
- Build and test SurveyCTO forms including skip logic, constraints, and range checks
- Support enumerator training on digital tools
- Set up and run automated high-frequency checks for duplicates, outliers, survey duration, GPS, submission patterns, and enumerator performance
- Share daily feedback with Field Operations team
- Apply documented quality checks to every dataset before analysis
- Flag recurring data quality issues within one week with recommended fixes
- Develop and maintain scripted, version-controlled cleaning and analysis pipelines in Stata or R
- Maintain codebooks, indicator definitions, cleaning logs, and analysis documentation
- Respond to ad hoc data requests from program teams within agreed timelines
- Prepare state-level and LGA-level performance data for planning, review, and health
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