The Information Management Officer will
Implement data cleaning and data validation tasks on a weekly basis according to internal procedures alongside the other IMO;
Lead on coding surveys and reviewing codebooks
Implement data storage tasks according to internal procedures
Manage regional ONA platform, under the supervision of the 4Mi Project Manager and the other IMO
Serve as a focal point for data management in the region by compiling quantitative data from relevant secondary sources;
Ensure the maintenance of the electronic data collection solution;
Support the 4Mi team in preparing and conducting the training of 4Mi enumerators on the questionnaire and the data collection software;
Share feedback with relevant project teams after cleaning data to feedback to enumerators,
Contribute to the quantitative analysis data of 4Mi data using relevant software applications such as Excel, STATA and/or R in support to the Research agenda;
Produce snapshots based on the quantitative data for external publication, with the support of the 4Mi Project Manager and the Research Team
Produce Information Factsheets for partners on demand, with the support of the 4Mi Project Manager
Support with the visualization of data, including GIS data, using relevant software such as QGIS, Adobe Illustrator, Excel; or PowerBI
Contribute to regional IM working groups
Assist the team with administrative or any other tasks related to the 4Mi.
Experience and Technical comptencies (included year of experience)
Degree in statistics, economics, data analysis, or any relevant computer science degree.
At least two-year's experience working in quantitative research;
Demonstrated experience in data management, cleaning, validation, storage;
Demonstrated experience with electronic data collection procedures and solutions (ODK, Kobo, Qualtrics, ONA, SurveyCTO, etc);
Demonstrated experience in training data collection teams in field locations;
Experience in quantitative analysis highly desired including the use of relevant software applications (Excel, STATA, SPSS, R, Python…) is highly desirable;
Strong attention to details and rigor in dealing with quantitative data.