Recrutement de 01 DATA SPECIALIST CCA/UNSDCF

Recrutement de 01 DATA SPECIALIST CCA/UNSDCF

Niveau d'études: Non précisé
Expérience: 5 ans
Expire le: 25-09-2023

FAO
Cairo, Egypt
Transports et logistique
Job Description - DATA SPECIALIST CCA/UNSDCF (2302672)

Job Description

CALL FOR EXPRESSIONS OF INTEREST - VACANCY ANNOUNCEMENT: 2302672

DATA SPECIALIST CCA/UNSDCF

Job Posting: 04/Sep/2023
Closure Date: 25/Sep/2023, 11:59:00 PM
Organizational Unit: ESS - Statistics
Job Type: Non-staff opportunities
Type of Requisition: Consultant
Grade Level: N/A
Primary Location: Egypt-Cairo
Duration: 11 months (renewable)
Post Number: N/A

IMPORTANT NOTICE: Please note that Closure Date and Time displayed above are based on date and time settings of your personal device

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 person 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

Organizational Setting
The Food and Agriculture Organization (FAO) is a specialized agency of the United Nations that focuses on 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.

FAO is actively engaging in UN country level repositioning for SDG achievement, participating in the negotiation and formulation, as well as in the annual updates, of Common Country Assessments (CCA) and United Nations Sustainable Development Cooperation Frameworks (UNSDCF). In this context, the Organization, under the technical leadership of the Economic and Social Development stream and in close coordination with other headquarters technical units and Regional offices, is implementing a mechanism for scaling up the needed human resource analytical and technical expertise in support of the CCA/UNSDCF process at country level. The mechanism will leverage ongoing processes and initiatives already identified within the Organization and draw upon the most sophisticated tools available, including advanced geo-spatial modeling and analytics. The effort will draw upon FAO’s specialized tools and analytical methodologies, including sectoral, to propose specific solutions tailored to the country needs and potentials, to ensure a robust UNSDCF Theory of Change that positions FAO as the premier agrifood systems player in the UN system.

As part of the CCA/UNSDCF analytical support mechanism, it is identified that technical support is needed for establishing and maintaining a data platform, and for doing statistical analysis, that can facilitate the elaboration of diagnostics and analysis aimed to support proposals for policy support and dialogue. For this, a data specialist is needed as part of this support mechanism.

Reporting lines
The Data Specialist reports to the Regional Programme Leader (RPL) at the FAO Regional Office for Near East and North Africa (RNE) and the Director of the Statistics Division (ESS Director) at FAO Headquarters.

Technical focus
Under the overall guidance and supervision of the RPL and ESS Director, the incumbent will support the Regional office and the FAO Country offices by coordinating technical support on data and indicators as part of the CCA/UNSDCF analytical support mechanism and their derivation to the respective Country Programming Framework.

Tasks and responsibilities
• As an input into the CCA and UNSDCF process and in coordination with the Statistics Division of FAO, support the development of the State of the agri-food systems data platform. The State of agri-food systems data platform aims to give the FAO country offices access to a selection of variables and datatables, coming from different sources to be used for a variety of diagnostics, analytical products and policy documents. It aims to contain basic relevant country data framed in the context of the 2030 Agenda and organized along the lines of the four betters and their 20 Programme Priority Areas. The support that the consultant will provide can be described as:
o Identification statistical domains and variables, that countries in the region need for the preparation of the country situation analysis report and their derivation to the Country Programming Framework.
o Identification of proper data sources and methodologies for collecting and their periodicity
o Elaboration of metadata files to be inserted in the platform according to the templates defined for that purpose.
o Support the design of the front end of the platform.
• After the platform has been developed, support its maintenance by identifying additional data domains and sources that are deemed to be important for the CCA and UNSDCF process and ensure their inclusion in the platform.
• Support the preparation and updating of the country situation analysis report by organizing the data the reports needs and preparing data tables, charts and analysis of the data as planned by the report.
• Provide support to FAO country representatives in technical backstopping to FAO participation in CCA and UNSDCF processes and their derivation to Country Programming Frameworks on data-related issues.
• Identify support requirements on data for country offices in terms of CCA and UNSDCF and their derivation to Country Programming Frameworks and propose solutions in coordination with the RPL.
• Provide related inputs for the Regional Overview of Food Security and Nutrition and other policy flagships, documents and publications
• Other tasks assigned by the immediate supervisor, according to the contractual objectives.

CANDIDATES WILL BE ASSESSED AGAINST THE FOLLOWING

Minimum Requirements
• Advanced university degree (PhD, Msc or equivalent) in statistics, mathematics, economics, agricultural economics, or a related field
• At least five years of relevant experience in the Near East region in the compilation, analysis and methodological development of food and agricultural statistics in national or international organizations
• Working knowledge (level C) of English and limited knowledge (level B) of Arabic as FAO Official languages are required

FAO Core Competencies
• Results Focus
• Teamwork
• Communication
• Building Effective Relationships
• Knowledge Sharing and Continuous Improvement

Technical/Functional Skills
• Work experience in more than one location or area of work, particularly in field positions is desirable
• 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
• Analytical skills and ability to express and synthesize ideas clearly and concisely, both orally and in writing, and demonstrated communication skills;
• Extended and relevant experience and knowledge of the main data sources used for the compilation of statistics; in data management and the compilation, validation and analysis of agricultural and food data; ability to analyze complex statistical-related issues; in developing statistical methodologies; in analysing statistical data and in writing reports using data
• Extended and relevant experience in the dissemination of statistical data; developing data platforms and related metadata
• Excellent proficiency in using statistical software, especially R, SPSS, STATA or similar software
• Extended and relevant experience in project implementation of technical assistance projects and training programmes
• Broad knowledge about the situation of agrifood systems in the region and local specificities
• Demonstrated experience in drafting technical reports/documents in English and an additional UN language is considered a strong asset

Please note that all candidates should adhere to FAO Values of Commitment to FAO, Respect for All and Integrity and Transparency

ADDITIONAL INFORMATION
FAO does not charge any fee at any stage of the recruitment process (application, interview, processing)
Please note that FAO will only consider academic credentials or degrees obtained from an educational institution recognized in the IAU/UNESCO list
Please note that FAO only considers higher educational qualifications obtained from an institution accredited/recognized in the World Higher Education Database (WHED), a list updated by the International Association of Universities (IAU) / United Nations Educational, Scientific and Cultural Organization (UNESCO). The list can be accessed at http://www.whed.net/
For more information, visit the FAO employment website
Appointment will be subject to certification that the candidate is medically fit for appointment, accreditation, any residency or visa requirements, and security clearances.

HOW TO APPLY
• To apply, visit the recruitment website at Jobs at FAO and complete your online profile. We strongly recommend that your profile is accurate, complete and includes your employment records, academic qualifications, and language skills
• Candidates are requested to attach a letter of motivation to the online profile
• Once your profile is completed, please apply, and submit your application
• Candidates may be requested to provide performance assessments and authorization to conduct verification checks of past and present work, character, education, military and police records to ascertain any and all information which may be pertinent to the employment qualifications
• Incomplete applications will not be considered
• Personal information provided on your application may be shared within FAO and with other companies acting on FAO’s behalf to provide employment support services such as pre-screening of applications, assessment tests, background checks and other related services. You will be asked to provide your consent before submitting your application. You may withdraw consent at any time, by withdrawing your application, in such case FAO will no longer be able to consider your application
• Only applications received through the FAO recruitment portal will be considered
• Your application will be screened based on the information provided in your online profile
• We encourage applicants to submit the application well before the deadline date.

If you need help, or have queries, please contact: [email protected]

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