Established in 1951, IOM is the leading inter-governmental organization in the field of migration and works closely with governmental, intergovernmental, and non-governmental partners. IOM is dedicated to promoting humane and orderly migration for the benefit of all.
Since 2004, the Displacement Tracking Matrix (DTM) is IOM’s main operational tool for tracking and monitoring the movements and the evolving needs of displaced populations. It has been systematically deployed in medium to large-scale humanitarian response operations. As of June 2023, the number of countries mobilizing DTM has grown to 100 with over 500 staff engaged on mission projects.
Located in the IOM London office, under the direct supervision of the DTM Analytics, Knowledge and Output, Quality (AKO) Unit Lead (London, UK)/DTM Lead Editor (London, UK), the successful candidate will integrate into the DTM AKO unit. The AKO unit of the global DTM support team is tasked with direct support to country and regional offices to ensure that the quality of analytic outputs is maintained in line with the global DTM standards, and are fit for purpose based on the audience and information needs at the country level.
The AKO unit is also engaged in exploring the analytic potential of DTM data through thematic work streams including children on the move, climate and natural hazard induced mobility, gender and displacement/migration, urban displacement/migration, data science and ethics, the humanitarian, development and peace nexus. With global estimate of crisis-affected migrants (GECAM) work stream, IOM under the direction of DTM, provides ‘Migrants in Need’ estimates to fill in data gaps to better respond to migrant assistance and protection needs in humanitarian crises. The lack of a comprehensive global assessment of the number of migrants impacted by crises has left a gap in our understanding of their scale and specific needs.
RESPONSIBILITIES AND ACCOUNTABILITIES
Learning Objectives: 1) DTM Methodologies and Data Collection Approaches Objective: Develop a detailed understanding of the four methodological components of DTM data collection and how they are implemented in the field. Learn how data collection approaches impact the data that is collected and how that data should be analyzed. 2) Data Analysis and Reporting Objective: Become proficient in preparing analysis and drafting reports on operational human mobility data for operational audiences implementing programs. Learn how to prepare advocacy data points for senior management and other audiences. 3) Global Estimates of Migrants Affected by Humanitarian Crises Objective: Develop an understanding of the models developed to produce estimates and the data ecosystem informing the estimates. Key Outcomes: Provide technical support with analysing data utilizing estimation models based on timely and recognized data on people in need and migrant stocks per country. The purpose is to provide estimates of migrants in crisis using different data sources. Common to all interns in the AKO unit: • Provide support in analysis and interpretation of data, as tasked by the DTM AKO unit • If necessary, in coordination with DTM Country Missions provide updates on human mobility trends, changes and any other significant observations surrounding human mobility and displacement in the respective context; • Assist the DTM Country Missions and teams in London in the production and quality control of documents; • Coordinate with other units of the global DTM support team to ensure continuity of functional workflows; • Provide administrative and logistical support to the London team when needed; • Provide support in analysis and interpretation of data as well as in review of DTM documents requiring remote assistance to DTM Missions, at their request; • Assist in the refinement of DTM’s data collection methodologies and questionnaires, identifying good practices and providing recommendations for improvement; • Support technical training of other staff, including through the organization of dedicated webinars. REF0004 Thematic focus: Data analysis of GECAM, incorporating in additional data sources, and supporting in defining new methodology. • Statistically analyze datasets UNDESA, humanitarian reports to provide GECAM estimates; • Daily monitoring and tracking of media sources to supplement existing migrant in crisis data; identify opportunities to automate process; • Review existing methodologies and tools on generating GECAM and provide recommendations for improvement; • Support with any reporting activities related to GECAM; • Support IOM thematic research on global estimates of migrants in crisis; • Support in monitoring/quality control of data analysis. Provide administrative and logistical support when needed. Perform other duties as may be assigned.
COMPETENCIES: The incumbent is expected to demonstrate the following competencies: Excellent statistical/analytical skills and research, writing, communication; ability to prepare clear and concise reports; Accountability; Client Orientation; Continuous Learning; Communication; Creativity and Initiative; Planning and Organizing; Professionalism – displays mastery of subject; incorporates gender related needs, perspectives, concerns and promotes equal gender participation; Technological Awareness. BEHAVIOURAL: Strong and demonstrable knowledge and interest in migration, displacement, International Health Regulations, biostatistics, epidemiology, development and/or humanitarian issues; personal commitment, efficiency, flexibility; ability to work effectively and harmoniously in a team and with colleagues from varied cultures and professional backgrounds under tight deadlines. TECHNICAL: Required: • Fluency in English at a working professional level • Proficiency using Microsoft Office 365 (Excel, Word and PowerPoint). • Valued proficiency in using two or more of the following tools: Python, Stata, R, or Statistical Package for the Social Science (SPSS) or STATA software. • Excellent knowledge of database management, querying, quality assurance and control systems. REF0004 • Experience drafting analytic outputs • Experience in quantitative research methods. Advantageous: • Experience with SQL and/or ArcGIS/QGIS is a distinct advantage. • Experience using Adobe InDesign is a plus.
EDUCATION AND EXPERIENCE: Advanced degree from an accredited academic institution in a field of study related to Geographical Information Science (GIS), Computer Science or an Information Management, Political Science, Economics/Development Economics or other relevant disciplines.
LANGUAGES
Required: Excellent communication skills in English (written and oral) Advantageous: Fluency in Arabic, French or Spanish (written and oral).
ELIGIBILITY REQUIREMENTS:
Applicants to IOM internships must, at the time of application, meet one of the following requirements: a) Be enrolled in the final academic year of a first university degree programme (minimum Bachelor’s level or equivalent); or b) Be enrolled in a graduate school programme (second university degree or equivalent, or higher); or c) Have graduated with a university degree (as defined in 4.1(a) or (b) above) and, if selected, must commence the internship within one year of graduation. 4.2 All applicants must be between 20 and 36 years of age.
How to apply
Interested candidates must submit updated CV and cover letter (in PDF format and only one file with your name and surname) to [email protected] adding “DTM Reporting Intern –GECAM” in the subject line, no later than Tuesday 5th of December 2023.
Please note that only successful candidates will be contacted, due to the high volume of applications.