DTM Analytics, Knowledge and Output Quality Paid Intern-London (Geographic focus: Libya)

Thematic focus: Economic induced displacement, and impacts of migration due to weakening economy and de-valuation of the local currency Geographic focus: Libya
Reporting directly: 
Libya DTM Coordinator
Overall supervision: 
Global DTM Coordinator (London)
Thematic supervision: 
DTM TRD Liaison officer (Geneva)
Duty Station: 
London, UK
Closing Date: 
Friday, November 9, 2018
Starting Date: 
As soon as possible
3 months with possibility of extension
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 in the last five years, including in all Level 3 emergencies. During 2016, DTM has been active in over 40 countries. To coordinate and support operations implemented by approximately 2,200 staff, the global DTM support team is comprised of 40 specialists across eight locations (Geneva, London, Bangkok, Nairobi, Dakar, Cairo, Vienna and The Hague). Since its inception the global support team includes, on average, 50% female and 50% male staff as well as a diverse range of nationalities.
Global DTM support is organized within the following units: Global System Management (GSM); Project and Operations Support (POS); Operations and Methodological Framework (OMF); Data Systems and Centralization (DSC); Data Management, Verification and Procedures (MVP); Digital Content Management (DCM); Analytics, Knowledge and Output Quality (AKO); Data Models and Learning (DML); DTM and Data Partnerships (DDP); Geospatial Analytics (GSA); Data Initiated Operations (DIO); and Humanitarian and Development Solutions (HDS). 
Located in the IOM London office, under direct supervision of the Libya DTM Coordinator (Tripoli) and the thematic supervision of the DTM TRD Liaison officer (Geneva) and the overall/daily supervision of the Global DTM Coordinator (London), the successful candidate will integrate the AKO unit.




Thematic focus: Economic induced displacement, and impacts on migration due to weakening economy and de-valuation of the local currency
  • Desk review of historical trends of migration and exploration of variances in macroeconomics in the region
  • Review of the impact of the gradual de-valuation of the Libyan dinar and explore any impacts on migration stocks measured by DTM in Libya 
  • Support the development of econometric models to analyse impact on human mobility, in connection with measurements conducted by DTM
  • Develop analytical frameworks, based on DTM data dictionary and tools, to help identify proxies for economic effects in displacement and mobility
  • Analyse DTM Flow Monitoring data from West Africa and identify possible relations between economic factors in Libya and mobility in the region; 
  • Ensure adherence to data protection principles for handling personal data of IOM beneficiaries, in regard to collection, use, storage, disclosure and disposal of personal data.
AKO and other functions:
  • Assist DTM Libya with the production of reports when requested;
  • Assist DTM Libya with statistical analysis of migration data when required;
  • Facilitate the organization of webinars in support of DTM Libya to ensure regular internal and external updates on human mobility trends, changes and any other significant observations surrounding human mobility in Libya;
  • Liaise with relevant IOM specialists on returns monitoring and TRD
  • Perform other duties as may be required by DTM Libya.  
In order to perform the abovementioned tasks, the incumbent will coordinate with other units of the global DTM support team also in contact with DTM Libya (in order to ensure continuity of existing workflows) and stay abreast of most recent human mobility trends in Libya.
The incumbent is expected to demonstrate the following competencies: 
Excellent research, writing, communication and statistical/analytical skills; ability to prepare clear and concise reports; Accountability; Client Orientation; Continuous Learning; Communication; Creativity and Initiative; Planning and Organizing; Professionalism -  displays mastery of subject matter; incorporates gender related needs, perspectives, concerns and promotes equal gender participation; Technological Awareness.
Strong and demonstrable knowledge and interest in migration, 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.
Proficiency using Microsoft Office 365 (Excel, Word and PowerPoint) is required; Experience using Adobe InDesign is a distinct advantage; Experience working with statistical software, such as Statistical Package for the Social Science (SPSS) or STATA software is a distinct advantage. A good knowledge of Python is a considerable advantage. Familiarity with Adobe InDesign is an advantage.
Advanced degree from an accredited academic institution in a field of study related to social science, economy, management, or other relevant disciplines. Preference given to previous development of econometric models. 
Excellent communication skills in English (written and oral) 
Knowledge of another UN language
Interested candidates must submit updated CV and cover letter (in PDF format and only one file with your name and surname) to dtmrecruitment@iom.int adding DTM Analytics, Knowledge and Output Quality London (Geographic focus: Libya) in the subject line, no later than Friday, November 9th.
NOTE: Only shortlisted candidates will be contacted and incomplete applications or submitted in more than one file (CV+cover letter in PDF format) will not be considered