VAM Officer (Statistician) - NOA

DEADLINE FOR APPLICATIONS

7 September 2026-23:59-GMT+03:00 Arabian Standard Time (Aden)

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ABOUT WFP

The World Food Programme is the world’s largest humanitarian organization saving lives in emergencies and using food assistance to build a pathway to peace, stability and prosperity, for people recovering from conflict, disasters and the impact of climate change.

At WFP, people are at the heart of everything we do and the vision of the future WFP workforce is one of diverse, committed, skilled, and high performing teams, selected on merit, operating in a healthy and inclusive work environment, living WFP's values (Integrity, Collaboration, Commitment, Humanity, and Inclusion) and working with partners to save and change the lives of those WFP serves.

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WHY JOIN WFP? 

• WFP is a 2020 Nobel Peace Prize Laureate.

• WFP offers a highly inclusive, diverse, and multicultural working environment.

• WFP invests in the personal & professional development of its employees through a range of training, accreditation, coaching, mentorship, and other programs as well as through internal mobility opportunities.

• A career path in WFP provides an exciting opportunity to work across the various country, regional and global offices around the world, and with passionate colleagues who work tirelessly to ensure that effective humanitarian assistance reaches millions of people across the globe.

• We offer an attractive compensation package (please refer to the Terms and Conditions section of this vacancy announcement).

GENERAL INFORMATION
JOB TITLE:  VAM Officer (Statistician)
TYPE OF CONTRACT/LEVEL: Fixed Term NOA
SUPERVISOR: VAM Officer
UNIT/DIVISION: VAM
DUTY STATION (City, Country): Aden, Yemen

DURATION: 12 Months

BACKGROUND AND PURPOSE OF THE ASSIGNMENT:

The United Nations World Food Programme (WFP) is the world's largest humanitarian organization, working to save lives and combat hunger globally. In Yemen, one of the world's most severe humanitarian crises continues to drive widespread food insecurity and vulnerability. According to the 2026 Humanitarian Needs and Response Plan (HNRP), an estimated 22.3 million people require humanitarian assistance, including 18.3 million people in need of food security and livelihood support. WFP's response focuses on saving lives, protecting livelihoods, and improving food consumption among the most vulnerable populations through life-saving food assistance and nutrition interventions.

To support evidence-based programming and strategic decision-making, WFP Yemen's Vulnerability Analysis and Mapping (VAM) unit leads food security monitoring, assessments, and analysis across the country. The unit conducts large-scale food security and livelihood assessments, market monitoring, beneficiary monitoring, and other analytical activities that generate critical information on food security conditions, market trends, household vulnerabilities, and humanitarian needs. These efforts provide the evidence base for Programme design, targeting, operational planning, donor engagement, resource mobilization, and advocacy.

The VAM unit manages and analyzes a wide range of datasets and produces regular analytical products, including monthly food security updates, quarterly food security and market monitoring and market functionality assessments. Through rigorous data collection, analysis, and reporting, the unit plays a central role in informing WFP's response and supporting humanitarian decision-making across Yemen.

JOB PURPOSE:

The VAM Officer (Statistician) will support the design, implementation, and analysis of food security assessments and surveys by applying sound statistical methodologies and ensuring the quality, accuracy, and reliability of data collected by WFP Yemen. The position is responsible for conducting statistical analyses and modeling, developing sampling methodologies, managing survey datasets, and producing evidence-based findings to inform food security monitoring, Programme implementation, and humanitarian response. The incumbent will contribute to questionnaire design, sample selection, data cleaning, validation, weighting, and quantitative/qualitative analysis of food security, market, and beneficiary datasets. The role will support the preparation of analytical reports, statistical tables, dashboards, and other information products while ensuring adherence to WFP standards and best practices in survey design, data quality assurance, and statistical reporting. The position will also support the application of innovative statistical techniques including Artificial Intelligence and Machine Learning approaches and strengthen the quality and credibility of evidence generated by the VAM unit.

Key Accountabilities (not all-inclusive)

• Support the design and implementation of food security, market prices and market functionality, beneficiary targeting, and ad hoc assessments by applying appropriate statistical methods and ensuring methodological rigor throughout the assessment cycle.

• Develop sampling methodologies, sample frames, and sample size calculations for household surveys, market assessments, monitoring activities, and other evidence-generation exercises conducted by WFP Yemen.

• Lead data processing activities, including data cleaning, validation, weighting, imputation, and preparation of analysis-ready datasets, ensuring accuracy, consistency, and adherence to established quality standards.

• Conduct statistical analyses of food security, livelihoods, market, beneficiary, and vulnerability datasets using WFP corporate techniques of quantitative and qualitative data analysis.

• Support the development, calculation, and validation of key food security, market, targeting, and outcome indicators used in WFP monitoring and assessment systems.

• Ensure quality assurance of data collection processes through development of validation rules, consistency checks, field monitoring tools, and data quality assessment procedures.

• Contribute to the design, testing, and refinement of questionnaires, survey instruments, and digital data collection tools to improve data quality and operational efficiency.

• Develop and maintain statistical code, automated scripts, and reproducible analytical workflows using relevant statistical software and programming languages to improve efficiency and standardization of analyses.

• Support advanced quantitative analyses, including trend analysis, predictive modelling, small-area estimation, targeting analysis, and other analytical techniques required for food security monitoring and humanitarian response.

• Prepare statistical tables, analytical datasets, metadata, technical documentation, and methodological notes to support reporting and ensure transparency and reproducibility of analytical outputs.

• Support the production of periodic analytical products by providing robust statistical evidence, indicator calculations, and quantitative findings for reports, dashboards, briefs, and other information products.

• Contributes to the integration and harmonization of diverse datasets, including household, market, targeting, operational, geographic, and secondary data sources, to strengthen analytical capacity within the VAM unit.

• Provide technical guidance and training to VAM staff, field teams, cooperating partners, and government counterparts on survey implementation, sampling methodologies, data quality management, and statistical analysis techniques.

• Support emergency assessments and rapid response analytical efforts by conducting timely statistical analysis and ensuring the availability of reliable evidence during crises and sudden-onset emergencies.

• Maintain statistical standards, documentation, and archiving systems to ensure compliance with WFP policies, best practices, and data protection requirements.

• Provide GIS and geospatial data-analysis and management support, including geocoding, spatial joins, administrative boundaries, vulnerability layers, operational locations and map production, where applicable.

• Develop and maintain dashboards and automated reporting products for food security, market prices, assessment results, rM&E/mVAM and other priority VAM indicators.

QUALIFICATIONS AND EXPERIENCE

Education: University degree in Statistics, Applied Statistics, Mathematics, Econometrics, Data Science, or a related quantitative discipline, with strong training in survey methodology, sampling, statistical modelling, and quantitative analysis.

Experience:  Total relevant 5 years of experience including 1 year of Professional experience in statistics, quantitative/qualitative analysis, survey methodology, data management, monitoring and evaluation, food security analysis, economics, or a related field. Experience in survey design, sampling methodologies, statistical analysis, data quality assurance, and management of large datasets is highly desirable. Experience working with humanitarian, development, or socio-economic data and proficiency in statistical software packages like R, STATA, SPSS, Python would be necessary.

Language: English - Arabic

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REASONABLE ACCOMMODATION

 

WFP is committed to supporting individuals with disabilities by providing reasonable accommodations throughout the recruitment process. If you require a reasonable accommodation, please contact:  global.inclusion@wfp.org

NO FEE DISCLAIMER

 

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REMINDERS BEFORE YOU SUBMIT YOUR APPLICATION

• All applications must be submitted exclusively through our online recruiting system. We do not consider CVs or applications sent by email, LinkedIn, or any other channel.

• We strongly recommend that your Workday profile is accurate and complete, and that all sections are filled in, including your employment history, academic qualifications, language skills, and UN grade (if applicable). Once your profile is completed, please apply, and submit your application.

• If you experience technical issues while submitting your application, you may contact us at global.hrerecruitment@wfp.org. Please note that this email is only for technical issues with an application - unsolicited applications or documents sent to this inbox will not receive a reply.

• At the application stage, the only required documents are your CV and Cover Letter. Additional documents (passport, certificates, recommendation letters, etc.) may be requested later in the process.

• Only shortlisted candidates will be contacted and invited to proceed to the next stage of the recruitment process.

All employment decisions are made on the basis of organizational needs, job requirements, merit, and individual qualifications. WFP is committed to providing an inclusive work environment free of sexual exploitation and abuse, all forms of discrimination, any kind of harassment, sexual harassment, and abuse of authority. Therefore, all selected candidates will undergo rigorous reference and background checks.

No appointment under any kind of contract will be offered to members of the UN Advisory Committee on Administrative and Budgetary Questions (ACABQ), International Civil Service Commission (ICSC), FAO Finance Committee, WFP External Auditor, WFP Audit Committee, Joint Inspection Unit (JIU) and other similar bodies within the United Nations system with oversight responsibilities over WFP, both during their service and within three years of ceasing that service.