Consultancy services: Building the Evidence Base on Internal Displacement in Guatemala
Produce an analytical report on internal displacement in Guatemala.
Overview
Produce an analytical report on internal displacement in Guatemala.
You have:
- Required Advance degree in Statistics, Economics, Data Science or related field.
- Proficiency in R, Python or Stata, SQL, and data visualization tools (Power BI or similar).
- Minimum 5 years in quantitative analysis, survey data processing, and statistical modeling.
- Required language proficiency in English and Spanish.
- Experience with household surveys and humanitarian contexts preferred.
Deadline for Applications
June 4, 2026Hardship Level (not applicable for home-based)
A (least hardship)Family Type (not applicable for home-based)
FamilyStaff Member / Affiliate Type
CONS InternationalTarget Start Date
2026-06-01Terms of Reference
Terms of Reference for Individual Contracts (Individual Contractors, Consultants and Fellows) (This work assignment description forms an integral part of the individual contract)
I. PROJECT DETAILS Requesting office (hiring office): UNHCR Guatemala – Protection Unit
Title of project: Building the Evidence Base on Internal Displacement in Guatemala
Purpose of project (summary): To produce a comprehensive analytical report on the living conditions and challenges faced by internally displaced persons (IDPs) in Guatemala, based on ENCOVI 2023 microdata, to inform national policy, humanitarian response, and development cooperation.
II. ASSIGNMENT DETAILS
- Contract type: Individual Consultant (An expert who is a recognized authority or specialist in a specific field area engaged by UNHCR under an individual contract in an advisory or consultative capacity)
2 Engagement via Partnership: No 3. Engagement type: Lump-Sum (Contractor works on a well-defined product against an agreed lump-sum price)
- Proposed instalment schedule: First payment: 10% Deliverable: Annotated outline and indicators to be reported
Second payment: 20% Deliverable: Tabulations and preliminary presentation of findings
Third payment: 30% Deliverable: Draft report (narrative, visuals, etc.)
Fourth payment: 20% Deliverable: Final approved report and analysis scripts
Estimated delivery date: End of the sixth month
Final payment: 20% Deliverable: Policy brief on the poverty conditions of IDPs
Total budgetary amount allocated for individual contract including fees, travel, DSA, any other costs (indicate currency) (for NIL/NIL type 'Not applicable'): USD 25,000
Duration and dates of the contract: From: ASAP To: 31 December 2026
- Position location (duty station): Guatemala City, Guatemala. This consultancy will primarily conduct interventions at the National Statistical Institute (INE).
III. DESCRIPTION OF ASSIGNMENT, DUTIES AND RESPONSIBILITIES OF THE ENGAGED INDIVIDUAL CONTRACT HOLDER
General Background of Project or Assignment, Operational Context:
Guatemala is a multi-ethnic, multilingual country with the largest economy in Central America. Yet, it continues to face some of the region’s highest levels of poverty and inequality. About 58% of the population lives in multidimensional poverty, with limited access to healthcare, education, food security, dignified employment, safe housing, and other essential services. Compounded by public security issues and natural disasters, Guatemala continues to face challenges related to internal displacement, a phenomenon for which data and evidence have historically been limited.
The last attempt at producing data on this population dates back to a study at the end of the country’s civil war in 1996, which estimated some 242,000 people were displaced due to the 36-year-long conflict. Since then, the problem of internal displacement is believed to have grown, but quantifying its magnitude and trends has been difficult in the absence of reliable data.
Reversing the trend, the National Statistical Institute of Guatemala (INE Guatemala), with the support of UNHCR, produced the first official statistics on the magnitude and characteristics of internally displaced people from the 2023 National Living Conditions Survey (ENCOVI 2023). The headline statistics were released in a high-profile event in September 2025. Building on the momentum, UNHCR and INE Guatemala agreed on the need for additional analytical products to inform public policy, humanitarian operations, and development cooperation in pursuit of solutions for IDPs.
Occupational Safety and Health Considerations: To view occupational safety and health considerations for specific duty stations, please visit this link: https://wwwnc.cdc.gov/travel
Purpose and Scope of Assignment:
The consultancy centers on producing an analytical report based on ENCOVI 2023, the first national dataset in nearly three decades to include official IDP statistics. Comparative analysis will detail how IDPs perform relative to non-displaced people in areas such as safety and security, education, adequate standards of living, housing, and access to documentation and livelihoods. In addition to the report, the consultant will prepare a policy brief (approximately 5-7 pages) on the socioeconomic conditions of IDPs, including monetary and multidimensional poverty, to enable advocacy for the socio-economic stabilization and reintegration of IDPs within their host communities.
The final report is expected to be around 30 pages long (plus annexes) detailing the findings from ENCOVI data structured in line with the IASC Framework on Durable Solutions for IDPs and concluding with relevant policy recommendations to improve the realization of solutions for IDPs. Where relevant, indicator calculations should follow the standard metadata for Sustainable Development Goals (SDG) indicators and relevant adaptations to the country context as employed by INE. The report should be drafted using language accessible to a general policy audience who may not be familiar with the nuances of statistical indicator definitions and calculations. Findings should be communicated using appropriate data visualizations with statistical tables relegated to the annexes. Data disaggregation that reflects heterogeneity in socio-economic conditions based on age, gender, location, year of displacement, or other dimensions should be incorporated into the report, as appropriate. The analysis should be fully reproducible, and the analysis scripts should be shared as part of the final deliverable.
CANDIDATE MINIMUM REQUIREMENTS, SELECTION CRITERIA Required qualifications, language(s) and work experience:
-Degree: Required: Advance in Statistics, Economics, Data Science or related field - Field of expertise, competencies: Technical skills: Proficiency in R, Python or Stata, SQL, and data visualization tools (Power BI or similar). Familiarity with SDG indicators and durable solutions frameworks desirable. -Required/mandatory: Minimum 5 years in quantitative analysis, survey data processing, and statistical modeling. (NOTE: candidates with less years of experience cannot be short-listed or recommended) -Desirable: Experience with household surveys and humanitarian contexts preferred. Language: Required: English/Spanish
EVALUATION, MONITORING, SUPERVISION
Monitoring and Progress Controls
Progress will be monitored through regular check-ins and review of deliverables by UNHCR Guatemala and INE.
Key milestones: Annotated outline and indicators to be reported Tabulations and preliminary presentation of findings Draft report (narrative, visuals, etc.) Final approved report and analysis scripts Policy brief on socioeconomic conditions of IDPs
Payments linked to approval of the deliverables.Standard Job Description
Required Languages
English,
Spanish,
Desired Languages
,
,
Additional Qualifications
Skills
Education
Bachelor's: Statistics (Required)Certifications
Work Experience
Other information
N/AThis position doesn't require a functional clearance Remote
No
Potential interview questions
| What strategies would you employ to ensure the accuracy of data collected for the report? | The interviewer wants to understand your approach to data validation and quality assurance in research. | Discuss methods such as triangulation, peer reviews, and statistical checks. |
| Can you describe a time when you had to analyze complex data and present your findings? | The interviewer is interested in your hands-on experience with data analysis and communication of results. | Pro members can see the explanation. |
| How do you stay updated with the latest frameworks in durable solutions for internally displaced persons? | Pro members can see the explanation. | Pro members can see the explanation. |
| What challenges do you anticipate in analyzing ENCOVI 2023 data and how would you address them? | Pro members can see the explanation. | Pro members can see the explanation. |
| In your opinion, what is the most critical socioeconomic factor affecting internally displaced persons in Guatemala? | Pro members can see the explanation. | Pro members can see the explanation. |
| Describe your experience working in a multicultural environment. How do you handle potential conflicts? | Pro members can see the explanation. | Pro members can see the explanation. |
| How would you ensure that your report is accessible to a non-technical audience? | Pro members can see the explanation. | Pro members can see the explanation. |
| What methods would you use for data disaggregation in your analysis? | Pro members can see the explanation. | Pro members can see the explanation. |