Support Macroeconomic Analysis and Data collection

Support macroeconomic monitoring and data collection for Syria.

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UN RCO - United Nations Resident Coordinator Office

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Application deadline 4 months ago: Tuesday 3 Mar 2026 at 00:00 UTC

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Overview

Support macroeconomic monitoring and data collection for Syria.

You have:

  • Master’s degree (ongoing or completed) in Economics with a focus on Macroeconomics or Development Economics.
  • Strong quantitative and analytical skills.
  • Familiarity with Python for data analysis (asset).
  • Basic econometric knowledge (required).
  • Familiarity with AI or data science concepts (asset).
  • Strong written communication skills.

Contract

This is a UNV contract. More about UNV contracts.

This Online Volunteering assignment supports UN-wide efforts in Syria to move from humanitarian response toward early recovery and longer-term sustainable development. Reliable macroeconomic data and analysis are essential for understanding economic trends, informing policy dialogue, and supporting evidence-based decision-making across the UN system.

The analytical outputs produced through this assignment will contribute to internal UN economic monitoring, flagship UN assessments, situation analyses, and policy briefs prepared by the Resident Coordinator’s Office in coordination with UN agencies. The assignment offers the volunteer a unique opportunity to engage with real-world macroeconomic challenges in a fragile context while supporting coordinated UN development planning and recovery efforts.

Under the supervision of the RCO Economist, the Online Volunteers will support macroeconomic monitoring for Syria by collecting, structuring, and analyzing key economic data. The assignment focuses on producing practical analytical outputs to support UN economic reporting and policy briefs. Key deliverables include:

  • A clean, well-documented dataset covering inflation, exchange rates, and selected sectoral indicators, with clear sources and time coverage.
  • Basic quantitative analysis outputs, including summary tables and charts showing recent trends.
  • Short analytical inputs (bullet points or brief notes) highlighting key findings and emerging macroeconomic risks.
  • Documented data sources and methodology to enable future updates and reuse.

The Online volunteer will work under the supervision of the RCO Economist and will collect data on three macroeconomic indicators inflation, exchange rate and sectoral data.

  • Master’s degree (ongoing or completed) in Economics with a focus on Macroeconomics or Development Economics.
  • Strong quantitative and analytical skills.
  • Familiarity with Python for data analysis (asset).
  • Basic econometric knowledge (required).
  • Familiarity with AI or data science concepts (asset).
  • Strong written communication skills.

Potential interview questions

Describe a time when you had to analyze complex economic data. What approach did you take? This question assesses your analytical skills and problem-solving approach when working with data. Discuss a specific example, emphasizing the methods you used and the insights gained.
How do you ensure accuracy and reliability in your quantitative analyses? The interviewer wants to know your methods for maintaining data integrity. Pro members can see the explanation.
What experience do you have with using Python for data analysis? Pro members can see the explanation. Pro members can see the explanation.
Explain how your econometric knowledge has been applied in previous roles or studies. Pro members can see the explanation. Pro members can see the explanation.
Can you discuss a challenge you faced while collecting economic data and how you overcame it? Pro members can see the explanation. Pro members can see the explanation.
What are key indicators you would analyze to assess Syria's economic situation? Pro members can see the explanation. Pro members can see the explanation.
How do you document your data sources and methodology for future updates? Pro members can see the explanation. Pro members can see the explanation.
What techniques do you use to communicate complex findings clearly? Pro members can see the explanation. Pro members can see the explanation.
Added 5 months ago - Updated 4 months ago - Source: unv.org