Information Management Officer at Danish Refugee Council

Overall purpose of the role

• The overall purpose of the role is to support the Mixed Migration Centre – Eastern & Southern Africa with the management of quantitative data collected by 4Mi enumerators and partners in the region.
• Under the supervision of the 4Mi Project Manager, and in close collaboration with the wider 4Mi team across the region and the global 4Mi information management coordinator, the successful candidate will be responsible for conducting data checks, cleaning, validation, storage and analysis of the 4Mi data. Contributing to better use of data, he/she will also provide support on data collection and management trainings, support the team with administrative tasks, and input on developing innovative data visualization projects.
• The post holder plays an important role within the team in ensuring high quality standards for the data collected on a daily basis by the 4Mi. He/she will be a go-to person within the team and within the MMC global network for survey, data collection and data management questions.

Responsibilities:

Data Management

• 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;

Data Collection

• 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,

Data Analysis and Visualization

• 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

Other

• Contribute to regional IM working groups
• Assist the team with administrative or any other tasks related to the 4Mi.

About you

In this position, you are expected to demonstrate DRC’s five core competencies:

• Striving for excellence: You focus on reaching results while ensuring an efficient process.
• Collaborating: You involve relevant parties and encourage feedback.
• Taking the lead: You take ownership and initiative while aiming for innovation.
• Communicating: You listen and speak effectively and honestly.
• Demonstrating integrity: You act in line with our vision and values.

Experience and technical competencies:

• At least two-years’ 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.

Preferred:

• Experience in GIS theory and GIS software (including QGIS, ArcGIS, CARTODB…) is an asset;
• Demonstrated understanding of current mixed migration debates and dynamics in the region is an asset;
• Previous experience working with international NGOs is an asset;
• Enthusiastic about learning, pushing limits, and finding new solutions;
• Strong verbal and written communication aptitude;

Education:

• Degree in statistics, economics, data analysis, or any relevant computer science degree.

Languages:

• Full professional proficiency in English and Swahili;
• Other regional languages an asset