Statistics Contractor

unhcr; Genf; Vor Ort; CHF 50.000 - 78.000; Vollzeit

Zusammenfassung

UNHCR in Geneva seeks an Entry Level Support for the Statistics and Information Management Section. The contractor will monitor and report on multi-stakeholder pledges, support GCR Indicator Framework reviews, and curate data for publication.

The role emphasizes data protection, quality assurance, and collaboration with international partners. Required background includes a degree in statistics or related fields and experience with statistical software such as STATA or R.

Qualifikationen

• Degree in Statistics, Demography, Empirical Sociology, Economics, Social Science, Public Policy or related field.

Aufgaben

• Provide technical support in monitoring, reporting and stocktaking of MSP implementation and development of the Statistical Inclusion Navigator.
• Support organization and delivery of meetings and events related to the GCR Indicator Framework review.
• Curate aggregated statistics, align data against a common data model, and prepare data documentation for publication internally and externally.
• Anonymize survey microdata in line with data protection framework and perform disclosure risk assessments.
• Perform other tasks as needed.

Kenntnisse

Statistics

Data analysis

Written material

Communication

Team collaboration

STATA

R

Ausbildung

Statistics or related field

Tools

STATA

R

Jobbeschreibung

Deadline for Applications

September 23, 2026

Hardship Level (not applicable for home-based)

H (no hardship)

Family Type (not applicable for home-based)

Family

Staff Member / Affiliate Type

CONTR Local Entry and Mid-Level Support

Target Start Date

2026-10-01

Terms of Reference

Contract Type: Individual Contractor

Engagement Type: Regular

Level: Entry Level Support

Location: Geneva, Switzerland

Monthly Fee: In accordance with applicable local salary scale for Switzerland

Duration: 6 months

General Background of Project or Assignment, Operational Context:

The Statistics and Information Management Section (SIMS) in UNHCR's Global Data Service (GDS) oversees the production of global statistics on refugees and other populations affected by forced displacement and statelessness. Within SIMS, the Statistical Inclusion and Global Indicator unit in Geneva, is leading the development of UNHCR's Refugee Data Portal and coordinating UNHCR's work on data curation and statistical inclusion.

In 2026, UNHCR is part of a data consortium with IOM, WFP, WHO, UNDP, and Integrated Food Security Phase Classification (IPC), which aims to strengthen humanitarian evidence and multisectoral needs analysis through improved data governance, interoperability, sharing, and use of assessment and displacement data across agencies. Within the consortium, UNHCR leads the data curation workstream, providing technical expertise on microdata governance, quality assurance, documentation, anonymization, disclosure risk management, and publication of curated datasets through the UNHCR Microdata Library to enhance the accessibility, comparability, and responsible reuse of humanitarian data.

The team is also leading the implementation of the GCR Indicator Framework and produces the biennial GCR Indicator Reports as part of the Compact's follow-up and review process. In 2026, the GCR Indicator Framework is being reviewed with the aim of strengthening its relevance, measurability, and policy usefulness by refining existing indicators, improving data quality and comparability, enhancing statistical inclusion, and ensuring the framework better captures progress towards responsibility-sharing, inclusion, self-reliance, and durable solutions ahead of GCR Indicator Report 2027 and the Global Refugee Forum (GRF) 2027.

Purpose and Scope of Assignment:

Duties and Responsibilities -

• 1. Provide technical support in the monitoring, reporting, and stocktaking of the implementation of the multi-stakeholder pledge (MSP) on statistical inclusion and development of the Statistical Inclusion Navigator. Timeframe: Oct 2026 - Mar 2027 Performance Indicators: Timeliness and quality of data analysis; feedback from supervisors and colleagues
• 2. Support the organization and delivery of meetings and events related to the GCR Indicator Framework review, including by working closely with the GCR thematic experts, internal and external GCR stakeholders and provide high‑quality analytical inputs for the GCR Indicator Review. Timeframe: Oct 2026 - Mar 2027 Performance Indicators: Timeliness of meetings and consultations; number and diversity of stakeholders consulted; positive evaluation from participants
• 3. Curate aggregated statistics by conducting data quality assessments, aligning data against a common data model, performing aggregation and computing derived variables (where required), and preparing data documentation for publication internally to UNHCR's Enterprise Data Platform (EDP) and externally through UNHCR's Refugee Data Portal. Timeframe: Oct 2026 - Mar 2027 Performance Indicators: Timeliness, number and quality of data submitted to the EDP and RDP.
• 4. Anonymize survey microdata in line with UNHCR's data protection framework and Administrative Instructions on microdata curation, performing disclosure risk assessments, and acquiring authorization for publication on UNHCR's Microdata Library. Timeframe: Oct 2026 - Mar 2027 Performance Indicators: Timeliness and quality of published and anonymized microdata; feedback from supervisors and colleagues
• 5. Any other tasks, as needed.

Required qualifications, language(s) and work experience:

Degree in Statistics, Demography, Empirical Sociology, Economics, Social Science, Public Policy or any other related field

Field of expertise, competencies: Required/mandatory:

• Demonstrated ability in applied statistics, particularly in descriptive and inferential statistics.
• Demonstrated ability to develop written material (reports, notes from meetings and advocacy material), particularly research papers based on statistical analysis.
• Familiarity with official statistics and operational data, including different data sources (surveys, administrative data, and census).
• Demonstrated ability to communicate with different audiences, both technical and non-technical, and work collaboratively with colleagues and team members.
• Knowledge and experience using at least one statistical and data software such as STATA, R or