The Statistics Division (ESS) develops methodologies and standards for
data collection, validation, processing and analysis of food and
agriculture statistics, and advocates for their implementation. It also
plays a vital role in the compilation, processing and dissemination of
internationally comparable data, and provides essential capacity
building support to member countries in these statistical domains. In
addition, the Division disseminates many publications, working papers
and statistical yearbooks, that cover agricultural and food security
relevant statistics (including prices, investments, production, trade
and agri-environmental statistical data).
The Methodological Innovations Team is responsible for: a) the
development of methods, standards, tools, norms and classifications used
in by FAOSTAT and the new Statistical Working System to collect,
compile and disseminate the underlying data for all basic statistics; b)
the documentation of the statistical methods used in FAO statistical
processes; c) strengthening the harmonization of the statistical
methodologies and data compilation practices across FAO.
The post is located in Rome
Under the general supervision of the Chief Statistician, the
Statistician reports to the Team Leader of the Methodological Innovation
Implementation of the Division's programme in the field of statistical
methodologies for improving international food and agricultural
statistics, with particular emphasis on methods, standards and tools for
the collection, validation, analysis and dissemination of food and
Collection, analysis and review of information, data and statistics, and
project/meeting services to support programme products, projects,
publications, and services
· Collects, reviews/cross checks and/or analyzes relevant agricultural,
economic, trade, market, social, environmental, nutrition/food
composition and/or gender related data, statistics and information to
support delivery of programme projects, products, publications and
· Undertakes analysis, provides technical input for plans and reports and edits/revises technical documents and/or publications
· Participates in the development of improved tools and methodologies
· Updates databases and web pages
· Participates on multi-disciplinary project/work teams
· Participates in the development of training materials and the organization of workshops/seminars etc.
· Participates in the organization, conduct and follow-up of meetings,
consultations and conferences, the development/production of required
materials and the provision of information and assistance to partners
· Contributes the development and timely updates of methods, standards,
tools, norms and classifications used in the production of food and
· Contributes to the enhancements of the methodologies, classifications
and metadata standards used by FAOSTAT and the new Statistical Working
System to collect, compile and disseminate the underlying data for all
· Contributies to the documentation of the statistical methods used in
FAO statistical processes by preparing guidelines, manuals and training
· Liaise closely with staff in other departments with a view to
strengthening the harmonization of the statistical methodologies and
data compilation practices across FAO;
· Provides advice and support the implementation of the Statistics
Quality Assurance Framework as applied to FAO statistical processes.
CANDIDATES WILL BE ASSESSED AGAINST THE FOLLOWING
· Advanced university degree in mathematics, statistics, economics
(supplemented by training in quantitative methods), or a related field;
· Three years of relevant experience in the methodological development,
compilation, analysis and/or evaluation of statistical indicators in
national or international organizations;
· Working knowledge of English, French or Spanish and limited knowledge of one of the other two or Arabic, Chinese, Russian
· Results Focus
· Building Effective Relationships
· Knowledge Sharing and Continuous Improvement
· Extent and relevance of knowledge and experience in the development of
statistical methods for the collection, validation, imputation,
processing and compilation of data and indicators.
· Extent and relevance of knowledge and experience in the use of
econometric tools and statistical software (e.g. R, SAS, STATA, GAMS).
· Demonstrated skills in the documentation, management, and analysis of statistical data.
· Demonstrated experience in drafting technical reports/documents in English would be an asset.
· Knowledge and experience in the compilation of food and agricultural statistics would be an asset
· Work experience in more than one location or area of work, particularly in field positions is desirable
Please note that all candidates should adhere to FAO Values of Commitment to FAO, Respect for All and Integrity and Transparency.
· All candidates should possess computer/word processing skills.
· Evaluation of qualified candidates may include an assessment exercise which will be followed by a competency-based interview.
· Your application will be screened based on the information provided in your iRecruitment online profile (see “How to Apply”).
We strongly recommend that you ensure that the information is accurate
and complete including employment record, academic qualifications and
· Please note that FAO will only consider academic credentials or
degrees obtained from an educational institution recognised in the
· Other similar positions at the same level may be filled from this
vacancy notice and the endorsed candidates will be considered for the
Employment Roster for a period of 2 years.
· Candidates may be requested to provide performance assessments.
Candidates are requested to attach a letter of motivation to the online profile.
Vacancies will be removed from iRecruitment at 23:59 Central European
Time (CET) on the deadline for applications date. We encourage
applicants to submit the application well before the deadline date. If
you need help, or have queries, please contact: iRecruitment@fao.org