Information Management Officer at Danish Refugee Council

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.