Open

1. Internal candidates
2. Qualified applicants from the following NMS countries: Antigua and Barbuda, Bahamas, Cook Islands, Cuba, Cabo Verde, Djibouti, Fiji, Micronesia (Federated States of), Gabon, Grenada, Guyana, Iceland, Kiribati, Comoros, Saint Kitts and Nevis, Lao People's Democratic Republic, Saint Lucia, Lesotho, Libya, Montenegro, Marshall Islands, Mauritania, Namibia, Nauru, Papua New Guinea, Palau, Paraguay, Solomon Islands, Seychelles, Suriname, Sao Tome and Principe, Eswatini, Timor-Leste, Tonga, Tuvalu, Holy See, Saint Vincent and the Grenadines, Vanuatu, Samoa

1. Ensure the implementation of DTM REMAP project activities such as (but not limited to), DTM mobility tracking, DTM flow monitoring and DTM surveys. Track progress and ensure that deadlines are met.
2. Support in organizing the logistics and procurement related to the DTM REMAP project implementation to ensure timely response.
3. Support in coordinating field data collection for DTM REMAP project activities and provide guidance in organizing appropriate trainings for the DTM REMAP data collection teams on issues related to DTM tools, including data collection forms, data processing protocols definitions etc.
4. Ensure timely production of national DTM data outputs and DTM reports in close coordination with the Regional DTM REMAP project coordination unit.
5. Provide technical support in reporting and analyzing DTM data and provide necessary feedback to the Regional DTM REMAP project coordination unit regarding any inconsistencies.
6. Maintain organized databases and narrative reports of all information collected under the DTM REMAP project.
7. Liaise with relevant authorities, UN agencies, NGOs, think tanks, government authorities, and other stakeholders on issues relevant to the DTM REMAP project. Participate in relevant meetings.
8. Supervise the project team and apply IOM’s respectful work environment principle.
9. Provide administrative and logistical support as needed.
10. Perform such other duties as may be assigned.

• Master’s degree in Migration Studies, Demography, Political or Social Science, International Relations or a related field from an accredited academic institution with two years of relevant professional experience; or
• University degree in the above fields with four years of relevant professional experience.

• Experience in coordination and implementation of data collection in emergency context on displacement and/or human mobility;
• Practical field experience in domains related to relief interventions and humanitarian action (including support to displaced populations and implementation of emergency and early recovery activities), UN, and the cluster system;
• Experience in survey and questionnaire design and implementation and probabilistic sampling is an advantage;
• Research experience in the field of population studies, human mobility, mixed migration, and refugees/IDPs in developed and developing countries, including field experience related to displacement and migration research is an advantage.

• Inclusion and respect for diversity: respects and promotes individual and cultural differences; encourages diversity and inclusion wherever possible.
• Integrity and transparency: maintains high ethical standards and acts in a manner consistent with organizational principles/rules and standards of conduct.
• Professionalism: demonstrates ability to work in a composed, competent and committed manner and exercises careful judgment in meeting day-to-day challenges.

• Teamwork: develops and promotes effective collaboration within and across units to achieve shared goals and optimize results.
• Delivering results: produces and delivers quality results in a service-oriented and timely manner; is action oriented and committed to achieving agreed outcomes.
• Managing and sharing knowledge: continuously seeks to learn, share knowledge and innovate.
• Accountability: takes ownership for achieving the Organization’s priorities and assumes responsibility for own action and delegated work.
• Communication: encourages and contributes to clear and open communication; explains complex matters in an informative, inspiring and motivational way. 

• Leadership: provides a clear sense of direction, leads by example and demonstrates the ability to carry out the organization’s vision; assists others to realize and develop their potential.
• Empowering others & building trust: creates an atmosphere of trust and an enabling environment where staff can contribute their best and develop their potential.
• Strategic thinking and vision: works strategically to realize the Organization’s goals and communicates a clear strategic direction.

I. Organizational Context and Scope

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. It does so by providing services and advice to governments and migrants.

The Displacement Tracking Matrix (DTM) has been IOM’s main operational tool for tracking and monitoring the movements and evolving needs of displaced populations since 2004. It has been systematically deployed in medium to large-scale humanitarian response operations in the last four years, including in all Level 3 emergencies. As of the end of 2015, DTM was active in 22 countries, tracking and monitoring over 14 million IDPs.

The DTM Support Team, based in headquarters, assembles expertise in operations and coordination, methodology and concept development, mapping and Geographic Information Systems, statistical analysis, database and application system development, and data and information management. The support team has been critical in providing remote and onsite support to DTM field implementation. The team provides a full range of support from the initial development and setup to continuous support on operations, staff deployment, data management, mapping, database systems, and development of information products. At the global level, the team is also striving to enhance the DTM by working on a multitude of initiatives exploring further integration of innovative technologies, improving capacity building components, and designing more streamlined processes.

Under the overall supervision of the Global DTM Coordinator and direct supervision of the Senior DTM Coordination Manager, the incumbent will be responsible and accountable for providing support to the activities and services provided by DTM support team in headquarters for DTM implementation in the field worldwide, in particular to support the development and implementation of global system components for DTM big data processing and analysis.

II. Responsibilities and Accountabilities

Specific duties and responsibilities will include the following tasks:

1.   Research, evaluate and recommend database and application system solutions and suggest best use case scenarios for big data processing and analysis.

2.   Research, evaluate and make recommendations on best practices regarding data management, data architecture and data design to ensure effective and efficient processes and quality of output in relation to big data processing and analysis.

3.   Work closely with development teams in designing and validating solutions for the suitable applications and their integration into the overall DTM global systems and platforms.

4.   Work closely with relevant technical teams to set up workplan, standards, and road maps in relation to big data information system integration and implementation.

5.   Evaluate and recommend management/monitoring tools for the recommended system solutions and regularly perform database health monitoring and diagnostics.

7.   In coordination with ICT unit, support in maintaining system performance and reliability as well as developing required effective and efficient backup and recovery procedures

8.   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.

9. Perform such other duties as may be assigned.

III. Competencies

The incumbent is expected to demonstrate the following technical and behavioural competencies:

Behavioral

Personal commitment, drive for results, efficiency, flexibility; ability to work effectively and harmoniously in a team and with colleagues from varied cultures and professional backgrounds under tight deadlines; displays awareness of relevant technological solutions. Actively seeks new ways of improving programmes or services.

Technical

Hands-on experience with Hadoop architectures (incl. YARN, MapReduce, Pig, Hive, HBase. Oozie, Spark)
Thorough understanding of the capabilities of Apache Hadoop distributions such as e.g. IBM, Hortonworks, Cloudera, or MapR and their integration options with traditional data warehousing and BI tools (such as e.g. Teradata, IBM DB2 / Netezza / DataStage / Cognos, Informatica, Ab Initio)
Understanding of Advanced Analytics technologies & solutions (incl. SPSS, SAS, R, Tableau, PowerBI, Qlikview)
Knowledge in in-depth knowledge of the technology for Big Data & Analytics- including the Hadoop Ecosystem, NoSQL approaches Advanced Analytics, Cognitive Computing and Cloud Data Management
Experience on HDFS, and the management, compilation and In-Database ETL operations of data coming structured and unstructured data.

IV. Education and Experience 

Master’s degree in Computer Science (or equivalent) from an accredited academic institution with relevant professional experience.
Experience in the data warehousing and BI space (incl. SQL / Data Modelling, Data Integration, Data Governance)
Experience across systems integration, information management business analytics and architecture
Experience in data warehouse environment and knowledge of existing and emerging data integration approaches
Experience in data architecture - experience of designing and developing logical data models

V. Languages

Required: Fluent in English

Advantegeous: Knowledge of additional UN language

VI. Eligibility Criteria

Applicants to the IOM internship programme 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 and, if selected, must commence the internship within one year of graduation.

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 dtmrecruitment@iom.int adding DTM Big Data System Intern in the subject line, no later than Sunday 14^th  April.

NOTE: Only shortlisted candidates will be contacted. Incomplete applications or submitted in more than one file (CV+cover letter in PDF format) will not be considered.

1. Support in ensuring timely and accurate collection and databased storage. This includes hands on coding ensuring data collected is proofed to source, handling daily exceptions (changes to source data, process errors, verifying suspect data), applying industry standard methodologies, and tracking to operational metrics.
2. Support in analyzing new assignments, developing scripts and tests to validate data, handling change requests and providing quick and efficient solutions to data sourcing issues.
3. Support in building requirements, metadata, backup procedures, and process documentation, and overall management of dataset addition process.
4. 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.
5. Support in following up on exceptions and outliers associated with specific datasets. This may include via industry contacts, 3rd party verification, additional research, and modelling or related analyses.
6. Support to formulate and maintain KPI for data quality, time management, and cost monitoring associated to be used across various parts of the global DTM Support team.
7. Support on development of data queries for internal use as require, as well as one-time data pulls from database as requested.
8. 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.
9. Perform such other duties as may be assigned. 

• Good data visualization skills on HTML5 or JavaScript environments, AngularJS, NodeJS, or D3 is a plus.
• 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 for spatio-temporal data and their relation with Big Data technologies, with an eagerness to jump in on day one.

• Pursuing degree in Computer Science, Engineering, Analytics or related field; with relevant professional experience is an advantage.
• Experience in compiling, collecting, and analyzing data from different sources, structured and unstructured. Experience with Natural Language Processing and Sentiment Analysis is a plus.

• 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.

• 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.  

I. ORGANIZATIONAL CONTEXT AND SCOPE