Data and Economic Analysis Internship

Hardship Level (not applicable for home-based)

H (no hardship)

Family

Internship

2024-11-18

October 8, 2024

UNHCR, the UN Refugee Agency, is offering a full-time internship with the Joint Data Center on Forced Displacement under the Division of Resilience and Solutions at UNHCR Copenhagen.
Established in December 1950, UNHCR is a global organization dedicated to saving lives, protecting rights and building a better future for asylum seekers, refugees, returnees, internally displaced communities and stateless people. Every year, millions of men, women and children are forced to flee their homes to escape conflict and persecution. UNHCR currently operates in over 130 countries, using its long expertise to protect and care for millions.

Title: Data and Economic Analysis Intern
Duty Station: Copenhagen
Duration: 6 months (with the possibility of two months extension)
Contract Type: Internship
Earliest Hire Date: December 2024

Organizational context
The Joint Data Center is a collaboration between two multilateral institutions – the World Bank and UNHCR – joining efforts and expertise towards improving the quality and quantity of data for evidence-based policy decisions and responses to global forced displacement crises. The collaboration between the World Bank and the UNHCR builds on their on-going joint initiatives on forced displacement including analytical work and microdata collection.
The mission of the Center is to enhance the ability of stakeholders to make timely and evidence-informed decisions that can improve the lives of affected people. The Joint Data Center leverages partnerships and innovation in its focus on the collection, analysis, dissemination and use of primary microdata that enables policymaking, programming and research. This includes demographic and socioeconomic data, including on income, skills, education, health, and economic activity on refugees, internally displaced persons, stateless people, returnees, asylum seekers and host populations.

The position
The ideal candidate for this role is someone who understands data and statistics and has an interest in refugees and development. The person in this role will be responsible for providing analytical support across the JDC, working on a portfolio of data-related research and analytical projects of different sizes and natures. As part of a small team, they will need to be flexible in order to adapt to the varying needs of the unit.
Duties and responsibilities
The main responsibilities will include:
• Analyzing data evidence and preparing descriptive analytical summaries to support JDC activities, including proof-of-concept analysis and quality assurance.
• Editing and proof-reading technical documents covering data and economics.
• Contributing to literature reviews on the issue of forced displacement (focusing on quantitative analyses) and draft of topical summaries.
• Supporting team members in the drafting and editing of blogs, social media content, papers, and presentations to support dissemination and events.
• Collaborating with team members to prepare and execute events, internal and external meetings, including notetaking and production of supporting documentation.
• Performing other tasks as needed
Minimum qualifications required
In order to be considered for an internship, candidates must meet the following eligibility criteria:
• Be either a recent graduate (having completed their studies within two years of applying) or a current student in a graduate/undergraduate school programme from a university or higher education facility accredited by IAU/UNESCO; and
• Have completed at least two years of undergraduate studies in a field relevant or of interest to the work of UNHCR.

Desirable qualifications and skills
• Hold a Bachelor’s degree equivalent or higher in a subject such as Economics, Political Sciences, International Studies, Health Studies or similar, with a proven quantitative focus, or in the field of Statistics or Quantitative Methods.
• Have a demonstrated knowledge of handling, cleaning and preparation of microdata.
• Have practical experience of working with data handling and analysis packages, such as R, Python or Stata.
• Have a demonstrated interest in forced displacement issues and/or experience working in this area.
• Display full command of written and oral English, including drafting skills.
• Have excellent research skills.
• Be able to work well independently as well as in an intercultural team.
• Be available to work full time (40 hours per week) throughout the duration of the internship.

Conditions
It is a full-time role with working hours starting from 8.30am to 5:00pm Monday to Friday (40 hours per week). The successful candidate will be assigned to support the JDC team at UN City, Copenhagen, Denmark.
For non-EU candidates, D-visa needs to be obtained before traveling to Denmark which takes 4 to 6 weeks. The office will provide assistance on visa-related issues.
Allowance: Interns who do not receive financial support from an outside party will receive an allowance to partially help to cover the cost of food, local transportation and living expenses. Unless provided or paid by their sponsoring entities, UNHCR reimburses interns’ travel costs to/from the duty station.
The UNHCR workforce consists of many diverse nationalities, cultures, languages and opinions. UNHCR seeks to sustain and strengthen this diversity to ensure equal opportunities as well as an inclusive working environment for its entire workforce. Applications are encouraged from all qualified candidates without distinction on grounds of race, colour, sex, national origin, age, religion, disability, sexual orientation and gender identity.
UNHCR does not charge a fee at any stage of its recruitment process (application, interview, meeting, travelling, processing or training.

 

Standard Job Description

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Desired Languages

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Additional Qualifications

Skills

Education

Certifications

Other information

The written test might be included in recruitment process.This position doesn’t require a functional clearance

Home-Based

No