Data Analysis Coordinator, MMS & SQ-LNS (Consultant)

About the role

Evidence Action supports the Government of Nigeria in two 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 to 18 months. As a consultant, you will own the end-to-end monitoring data pipeline for both programs, working in the Data Analysis team of the Monitoring, Learning and Evaluation (MLE) team for West and Central Africa, reporting to the MLE Manager with no direct reports.

Key responsibilities

• Clean and analyze MMS monitoring data (FCT, Oyo and Jigawa) and quarterly SQ-LNS facility monitoring data, calculating indicators by state, LGA and facility
• Run descriptive and basic inferential analysis, interpret results for program action, and support the MMS coverage survey and the planned SQ-LNS endline household survey
• Produce high-frequency check outputs, cleaned datasets, summary reports, review-meeting packs, quarterly performance reports, priority-facility lists and dashboards
• Build and test SurveyCTO forms, set up automated high-frequency checks, train enumerators and share daily feedback with Field Operations
• Maintain reproducible cleaning and analysis pipelines in Stata or R, with documented codebooks and indicator definitions
• Respond to ad hoc data requests, prepare performance data for planning and review meetings, and explain results to non-technical audiences
• Store data securely on approved platforms such as Box and document lessons learned for handover

Required profile

• Location: Abuja, Nigeria (preferred); candidates based in Oyo or Jigawa State will also be considered
• Up to 20% travel to program states, subject to security protocols
• Ability to deliver fast turnaround, with daily high-frequency check outputs shared within 24 hours during active data rounds

Required skills

• Stata or R
• SurveyCTO
• Data cleaning and analysis