Consultant for EJRF Support and Immunization Data Analysis, CoE, Nairobi

Minimum requirements: (Qualifications/Experience/ Knowledge/Expertise/Skills)

• Education: Master's degree in public health Epidemiology Biostatistics Health Information Systems or related field
  
• Work Experience: At Minimum 5 years of relevant professional experience Proven expertise in:
  
• eJRF processes (data entry, validation, and review)
  
• WUENIC estimates and immunization data analysis
  
• Experience working at both country and regional levels
  
• Experience with UNICEF, WHO, or similar organizations
  
• Strong analytical and data interpretation skills
  
• Experience in zero-dose analysis and equity-focused immunization programming
  
• Excellent report writing and communication skills
  
• Knowledge of at least one or more statistical and data analyses packages (EPIINFO, EPIDATA, SAS, STATA, SPSS, R, Statistica, or Matlab)
  

• The purpose of this consultancy is to provide global and country technical support to UNICEF Country Offices and the Centre of Excellence from Nairobi, Kenya, on immunization data systems, with a focus on strengthening the quality, completeness, and use of Electronic Joint Reporting Form (eJRF) data and WUENIC estimates. The consultant will support data-driven decision-making to improve immunization programme performance, reduce the number of zeroThe consultant will operate through a collaborative and iterative approach, working closely with time zone health specialists and country teams to review, validate, and interpret immunization data.
  
• This will include real-time technical support during key reporting periods (e.g., eJRF submission cycles), remote engagement with multiple countries, and continuous feedback loops to improve data quality and consistency.
  
• The assignment will emphasize hands-on technical accompaniment, including joint data review sessions, direct support to data entry and validation processes, and co-development of analytical outputs. The consultant will ensure alignment between country-reported data and global estimates (WUENIC), while supporting the translation of data into actionable insights.