Job Posting: 03/Mar/2025
Closure Date: 24/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: 0093041
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, data science, mathematics, economics, agricultural economics, 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 focus on the management of statistical platforms and databases for dissemination and the development of relational and multidimensional data models.
• 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.
• 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 experience in the compilation, validation, analysis and presentation of food and agricultural data.
• Extent and relevance of experience and knowledge of the main data sources used for the compilation of food and agricultural statistics, their underlying quality limitations and how to address them.
• Extent and relevance of experience in conducting quantitative analyses and presentation of food and agricultural statistics using appropriate statistical software.
• Extent and relevance of knowledge and experience in the dissemination of statistical data.
• Extent and relevance of experience in software used for processing and analysing statistical data, such as R, Python, STATA and SQL.
• Extent of knowledge of and relevant experience in data modelling methods and best practices using SDMX technical standards.
• Extent and relevance of knowledge and experience in the publication of high-profile statistical publications and reports.
• Extent and relevance of experience in the preparation, editing and revision of outreach and communication materials.
• Extent and relevance of knowledge of and experience with Tableau and other data visualization software.
• Knowledge of and familiarity with FAO’s statistical dissemination platforms FAOSTAT and RuLIS is considered a strong asset.

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