Intern - Displacement Tracking Matrix (DTM) Regional Evidence for Migration Analysis and Policy (REMAP)

The intern will support the DTM REMAP project by assisting in researching, drafting dashboards, preparing data, and analyzing human mobility data for several Central and South Asian countries. The role includes supporting data quality assurance, developing data queries, and ensuring adherence to IOM data protection policies.

Responsibilities

• Assist in researching and drafting dashboards and prepare data for flash information sheets, papers and reports describing and analyzing human mobility of Afghan, Bangladeshi, Kazakh, Kyrgyz, Pakistani, Tajik and Uzbek nationals inside their countries and across international borders in both English and Russian language.
• Assist in compiling, analyzing, visualizing human mobility data within Afghanistan, Bangladesh, Kazakhstan, Kyrgyzstan, Pakistan, Tajikistan and Uzbekistan for DTM REMAP reporting purposes in both English and Russian language.
• Support development and implementation of supplementary and interoperable systems for quality assurance and further improvement of DTM REMAP data and analysis.
• Support in analysing new assignments, developing scripts and tests to validate data, handling change requests and providing quick and efficient solutions to data sourcing issues.
• Support in building requirements, metadata, backup procedures, and process documentation, and overall management of dataset addition process.
• Works with various parts of the global DTM Support team to ensure that content is delivered on-time, regardless of system issues, and that the format and structure supports the operational requirements.
• Support on development of data queries for internal use as require, as well as one-time data pulls from database as requested.
• Ensure that the implementation of the information management systems and application adhere to IOM Data Protection Policy and Information Technology and Communication (ITC) Policies and Standards, including on system and data security.
• Perform such other duties as may be assigned.

Requirements

• Pursuing degree in Computer Science, Engineering, Analytics or related field; with two years of relevant professional experience.
• Accredited Universities are those listed in the UNESCO World Higher Education Database.
• Experience in compiling, collecting, and analyzing data from different sources, structured and unstructured.
• Experience with Natural Language Processing and Sentiment Analysis is advantageous.
• Good data visualization skills on HTML5 or JavaScript environments, AngularJS, NodeJS, or D3 is advantageous.
• Strong SQL developer skills.
• Proficiency in Python 3 (preferable) or any other multi-purpose programming language.
• Capability to transform ideas into algorithms and programming code/apps.
• Excitement and interest in spatio-temporal data and their relation with Big Data technologies.
• Fluency in English (oral and written) is required.
• Working knowledge of Kazakh, Kyrgyz, Russian, and Uzbek languages, and/or another official UN language (Arabic, Chinese, French, and Spanish) is an advantage.
• Only candidates possessing the right of residence and right to work in Germany can be considered for this vacancy.

Skills

• Data Collection
• Data Analysis
• Natural Language Processing
• Public Sentiment Analysis
• Data Visualization
• HTML5
• JavaScript
• AngularJs
• NodeJS Framework
• D3
• SQL Development},{
• Python 3 Programming
• Algorithm Development
• Spatio-temporal Data Analysis
• Big Data Technologies
• Data Quality Assurance
• Data Query Development
• Data Protection Compliance

Languages

English, Kazakh, Kyrgyz, Russian, Uzbek, Arabic, Chinese, French, Spanish