Support coordinated assessment exercises (and/or preparedness) from an information management/data analysis perspective, as required. Provide support in developing an agreed, context-specific data collection and analysis methodology for coordinated assessments. Provide technical assistance and guidance to the Immunisation program with a focus on information management practices that support quality data. Facilitate, through information management best practices, a harmonized approach to needs assessments within/across the Cluster/Sectors. Ensure Clusters/sectors are using the Key humanitarian indicators as well as the Common OperationalDatasets.Support the undertaking of joint assessment, as required. Provide guidance to Immunisation program on the analysis and interpretation of various data collected routinely and through preventive and outbreak immunisation responses

REQUIRED QUALIFICATIONS

Education

Essential: First university degree in Public health, data science, statistics or related field.
Desirable: An advanced degree in Public health, data science or statistics.

Experience

Essential: Up to1 year of relevant experience in analysing and/or management and dissemination of health data, of which at least one year experience with international organization.
Desirable: Experience in dashboard development and maintenance

Skills

Proficient with R, particularly the tidy verse suite (dplyr, tidyr, rlang).Package development expertise.Knowledge of the Triple Billion framework and associated methods.Knowledge of Triple Billion R package environment.

WHO Competencies

Teamwork
Respecting and promoting individual and cultural differences
Communication
Moving forward in a changing environment
Producing results

Use of Language Skills

Essential: Expert knowledge of English.
Desirable: Beginners knowledge of French.