Job Posting: 28/Feb/2025
Closure Date: 21/Mar/2025, 5:59:00 PM
Organizational Unit: ESS
Job Type: Staff position
Type of Requisition: Professional
Grade Level: P-3
Primary Location: Italy-Rome
Duration: Fixed-term: two years with possibility of extension
Post Number: 0401420
CCOG Code: 1M02
IMPORTANT NOTICE: Please note that Closure Date and Time displayed above are based on date and time settings of your personal device
The length of appointment for internal FAO candidates will be established in accordance with applicable policies pertaining to the extension of appointments.

• FAO is committed to achieving workforce diversity in terms of gender, nationality, background and culture
• Qualified female applicants, qualified nationals of non-and under-represented Members and persons with disabilities are encouraged to apply
• Everyone who works for FAO is required to adhere to the highest standards of integrity and professional conduct, and to uphold FAO’s values
• FAO, as a Specialized Agency of the United Nations, has a zero-tolerance policy for conduct that is incompatible with its status, objectives and mandate, including sexual exploitation and abuse, sexual harassment, abuse of authority and discrimination
• All selected candidates will undergo rigorous reference and background checks
• All applications will be treated with the strictest confidentiality
• FAO staff are subject to the authority of the Director-General, who may assign them to any of the activities or offices of the Organization.

FAO’s commitment to environmental sustainability is integral to our strategic objectives and operations.
The Food and Agriculture Organization of the United Nations (FAO) contributes to the achievement of the 2030 Agenda through FAO Strategic Framework by supporting the transformation to MORE efficient, inclusive, resilient and sustainable agrifood systems, for better production, better nutrition, a better environment, and a better life, leaving no one behind.

MINIMUM REQUIREMENTS

• Advanced university degree in statistics, mathematics, economics, agricultural economics, data science or a related field.
• Five years of relevant experience in the compilation and analysis of food and agricultural statistics in national or international organizations, with a focus on environment statistics.
• Working knowledge (proficiency - level C) of English and intermediate knowledge (intermediate proficiency - level B) of another FAO official language (Arabic, Chinese, French, Russian or Spanish).

TECHNICAL/FUNCTIONAL SKILLS

• Work experience in more than one location or area of work, particularly in field positions.
• Experience with capacity development programmes and ability to conduct trainings and tailored technical assistance.
• Strong command of statistical methods including: data presentation, analysis and descriptive statistics; main continuous and discrete random variables (binomial, normal, standard normal, log-normal) and their properties; probability distributions; conditional probability, probabilities of intersections of events, Bayes’ theorem; correlation and rank correlation; sampling and sample size: simple, stratified, and multistage random sampling; Inference, confidence intervals, hypothesis testing and significance; linear regression (single and multiple) comparison of population means and variances, ANOVA; Chi-square and goodness of fit tests; nonlinear models: maximum likelihood estimation; elements of survey and questionnaire design.
• Extent and relevance of knowledge and experience in the use of quantitative statistical and econometric methods.
• Extent and relevance of experience and knowledge of the main data sources used for the compilation of environment statistics.
• Extent and relevance of experience in the compilation, validation and analysis of environment statistics.
• Demonstrated ability work under minimal supervision, present statistics materials lucidly and effectively and produce high quality papers in English.
• Extent and relevance of experience in software used for processing and analysing data, such as R and Stata.
• Extent and relevance of experience in designing and delivering capacity development programmes at country level.
• Ability to analyse complex statistical-related issues.

FAO staff are expected to adhere to FAO Values of Commitment to FAO, Respect for All and Integrity and Transparency.

Please refer the Job description for details