Data Analysis Coordinator, MMS & SQ-LNS (Consultant) at Evidence Action – Oyo State

Evidence Action is recruiting a Data Analysis Coordinator (Consultant) for MMS and SQ-LNS monitoring in Oyo State, supporting the Monitoring, Learning and Evaluation team across health and nutrition programmes.

Monitoring data and analysis

• Manage MMS and SQ-LNS monitoring data, including facility visits, register extraction, adherence monitoring and quarterly health-facility reporting.
• Build and test SurveyCTO data-collection forms with validations, skip logic and range checks.
• Run high-frequency checks on duplicate records, outliers, GPS readings, field submissions and enumerator performance.
• Analyse coverage, stock availability, enrolment, retention, service delivery and supply-chain indicators at state, LGA and facility levels.
• Apply descriptive and basic inferential analysis, including trends, confidence intervals, subgroup comparisons and suitable regression.
• Support the MMS coverage survey and SQ-LNS endline household survey, including anthropometry data quality assessment.

Reporting and delivery

• Deliver daily data quality feedback during active fieldwork and escalate recurring issues promptly.
• Produce cleaned datasets and topline summaries within five working days, with full reports, dashboards and priority-facility lists within seven working days after data rounds.
• Prepare review-meeting packs at least three working days before meetings.
• Build visualisations, dashboards and reproducible Stata or R data pipelines, with codebooks, logs and version control.
• Explain findings to programme teams, government partners and non-technical audiences and contribute to donor reporting.
• Store data securely and document processes for handover.

Requirements

• Bachelor’s degree in Statistics, Economics, Data Science, Public Health, Epidemiology or another quantitative subject; a relevant master’s is advantageous.
• At least five years of health or nutrition programme data management and analysis experience.
• Advanced Stata or R, Excel, dashboarding and digital survey-tool capabilities; SurveyCTO, ODK or KoBo experience is useful.
• Ability to deliver accurate work across parallel data streams, communicate clearly and protect personal data.
• Authorisation to work in Nigeria and willingness to travel to programme states up to 20% subject to security guidance.
• Knowledge of Nigerian health information systems, maternal and child nutrition data and GIS tools is advantageous.