Regional IM Specialist

Regional IM Specialist

Danish Refugee Council (DRC)

March 20, 2025April 3, 2025AmmanJordan
Job Description
Job Posting Organization:
The Danish Refugee Council (DRC) is a prominent humanitarian organization that has been actively involved in providing assistance and support to displaced populations since its establishment. DRC operates in numerous countries around the world, focusing on the needs of refugees and internally displaced persons. The organization is dedicated to addressing the challenges faced by these vulnerable groups through innovative solutions and data-driven approaches. DRC has developed the FORESIGHT model, which utilizes community and mobility data to forecast conflict-induced displacement, aiming to enhance the capacity for anticipatory action in humanitarian contexts. The organization is committed to refining predictive models and integrating community-level data to improve preparedness and response to displacement crises.

Job Overview:
The Regional IM Specialist will play a crucial role in the Danish Refugee Council's efforts to manage and analyze information related to displacement predictions and protection information monitoring across the Asia-Europe and Middle East and North Africa Regional Offices. This position requires a proactive approach to collecting, analyzing, and disseminating relevant data to support decision-making processes within the organization. The successful candidate will collaborate closely with various teams to ensure that accurate and timely information is available, thereby enhancing the organization's capacity to protect vulnerable populations and respond effectively to displacement crises. The role involves developing and maintaining displacement prediction models, conducting data analysis, and producing reports that inform the organization's strategies and interventions.

Duties and Responsibilities:
The duties and responsibilities of the Regional IM Specialist include:
  • Developing and maintaining displacement prediction models using relevant tools and techniques.
  • Conducting data pre-processing and data wrangling using programming languages such as R or Python.
  • Producing regular reports on displacement trends, including necessary visualizations, maps, and other visual aids.
  • Attending relevant meetings and conferences to stay updated on developments in protection information monitoring and displacement predictions.
  • Participating in the organization's emergency response efforts as needed.
  • Establishing and enhancing an information management system tailored to the specific needs of the Regional Offices.
  • Supporting Country Offices in strengthening their information management systems.
  • Building capacity within the organization by conducting training and workshops on information management best practices.
  • Collaborating with program managers and technical teams to integrate information management into project design and implementation. 1
  • Monitoring, organizing, and managing data collected, analyzing trends and relevant indicators to inform decision-making. 1
  • Producing information products such as monitoring reports, dashboards, and infographics for internal and external stakeholders. 1
  • Implementing monitoring and evaluation frameworks for projects to track progress against objectives and indicators. 1
  • Supporting the dissemination of learning products internally and externally to contribute to sector-wide knowledge development. 1
  • Providing technical assistance and capacity-building support to field staff on data collection, analysis, and management. 1
  • Monitoring the utilization of community feedback mechanisms to ensure beneficiary participation, accountability, and responsiveness.

Required Qualifications:
The required qualifications for the Regional IM Specialist position include:
  • Proficiency in a programming language, specifically R or Python.
  • Mandatory experience in developing predictive models.
  • Desirable experience with forecasting/prediction models using R or Python.
  • A minimum of three years of experience in information management, data management, statistics, or a related field.
  • Knowledge of establishing and maintaining Information Management or Data Management Systems.
  • Experience working in humanitarian contexts, particularly in Asia and/or the Middle East, is a plus.
  • Demonstrated experience with electronic data collection procedures and solutions such as ODK, Kobo, Qualtrics, ONA, SurveyCTO, etc.

Educational Background:
The educational background required for this position includes a Bachelor's degree in data science, statistics, computer science, or a related field. Additionally, certification or successful completion of a relevant data analytics course in R or Python is necessary to ensure the candidate possesses the technical skills required for the role.

Experience:
Candidates should have at least three years of relevant experience in information management, data management, statistics, or a related field. Experience in developing predictive models and working in humanitarian contexts, particularly in Asia and/or the Middle East, is highly desirable. Familiarity with electronic data collection tools and methodologies is also essential for this position.

Languages:
The mandatory language requirement for this position is excellent verbal and written proficiency in English. Fluency in Arabic is considered an asset and would enhance the candidate's ability to communicate effectively within the region.

Additional Notes:
This position is a full-time role with a contract length of 12 months, starting on May 1st, 202
  • The duty station for this role is Amman, Jordan. The salary and conditions will be in accordance with the Danish Refugee Council’s Terms of Employment for Nationals, and the position is classified at the G1 band, which is a non-management level. All applicants are required to submit a cover letter and an updated CV in English, with applications sent via email not being considered. The closing date for applications is April 2nd, 2024, and applications will be reviewed on a rolling basis, with the possibility of conducting tests and interviews before the closing date.
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