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    Econometrics and Statistics Specialist - Rome, Italia - FAO

    FAO
    FAO Rome, Italia

    3 giorni fa

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    Descrizione

    Reporting Lines

    The Econometrics and Statistics Specialist will report to the Senior Technical Officer (DIEM Team Leader). He/she will work in close collaboration with other DIEM team members, including the Survey Methods, Research & Analysis (SMAR) analysts, the DIEM Deputy Team Leader, the DIEM Data Manager, the DIEM Research Capacity and Learning advisor and Regional Assessment specialists. He/she will build linkages with other teams in OER and other divisions with FAO, in particular the Statistics Division (ESS), and with external partners (including research partners, implementing partners and WFP).

    Technical Focus

    The Econometrics and Statistics Specialist is responsible for technically leading the enhancement of DIEM analytical capacities, in relation to the Research, Analysis and Learning agenda. He/she will spearhead research and development to enhance and advance DIEM products, and act as the outward-facing interface for DIEM on econometrics and advanced analytics. The processes and products generated will be relevant to the Emergency and Resilience Programming of FAO as well as the activities of other stakeholders including the global Food Security Cluster, Research partners and resource partners.

    Tasks and responsibilities

    Analysis:

    • Apply advanced statistical techniques to analyse large datasets, identifying relationships, causalities, profiles, trends, and insights for decision-making;

    • Apply data reduction techniques to distil large datasets into meaningful insights without losing critical information;

    • Build and validate statistical models for time series analysis including pattern identification, seasonality analysis and forecasting;

    • Perform spatial data analysis to understand geographical trends;

    • Design and implement data analysis workflows using R and/or Python to be incorporated into existing scripts;

    • Lead on meta-analyses of multi-round, multi-country household data, from the analysis plan to reporting;

    Technical support and training:

    • Support regional and country analysts in the formulation and framing of research and analytical questions;

    • Assist the SMAR team by providing technical inputs in the development of tools and training materials to be used by regional and country analysts, in view of improving the analytical depth of DIEM products;

    • Collaborate with DIEM Regional Advisers (RAs) and the DIEM SMAR team to understand data requirements and provide support on complex sample design;

    • Continuously explore and integrate new data sources techniques to enhance the analytical capabilities of the DIEM team;

    Visualization, reports and documentation:

    • Facilitate data-driven decision-making by providing clear and concise visual summaries of analysis. Work with RAs, the DIEM Communications team and the DIEM Hub team to translate complex analytical findings into understandable and actionable visual reports;

    • Provide technical inputs to the development of an annual DIEM global report and lead the development of specific analytical papers and contributions to FAO flagship publications based on DIEM;

    • Document methodologies and findings, ensuring transparency, accessibility and easy replicability of models;

    • Participate in the development of journal articles for Peer Reviewed journals

    DIEM-Risk and DIEM-MEAL:

    • Peer review and propose improvements to the risk model structure and equation, including risk dimensions, ingredients, indexes, normalization of variables and weights under DIEM-Risk;

    • Provide technical inputs to the implementation of integrated DIEM and MEAL studies;

    Partnerships:

    • Act as the leading technical interface between DIEM team (OER) and partner universities (including Cornell and Tulane Universities), research centers (including IFPRI), WFP, DataLab (FAO-ESS, DIEM's key partner on machine learning), and other internal and external partners as needed;

    Other:

    • Stay abreast of the latest developments in statistical analysis and relevant technologies;

    • Undertake travel, as required;

    • Perform any other duties, as required.

    CANDIDATES WILL BE ASSESSED AGAINST THE FOLLOWING

    Minimum Requirements


    • Advanced degree in Quantitative Economics/Development Economics/Agricultural Economics, Econometrics or Applied Statistics.

    • At least 5 years of relevant experience in analyzing large, complex agricultural/ food security related data sets, preferably including data from food crisis/ emergency/protracted crisis contexts.

    • For consultants: working knowledge of English (C-level) and limited knowledge (В-level) of one of the other official languages of the organization (French, Spanish, Chinese, Russian or Arabic). For PSA: Working knowledge of English (C-level).

    FAO Core Competencies


    • Results Focus

    • Teamwork

    • Communication

    • Building Effective Relationships

    • Knowledge Sharing and Continuous Improvement

    Technical/Functional Skills


    • Expert level competence in at least one and preferably two of the following: SPSS, STATA, R;

    • Ability to analyse large cross-sectional and time-series datasets;

    • Ability to work under pressure and adapt to an evolving and complex humanitarian context and within multidisciplinary and different cultural background teams;

    • Ability to demonstrate creativity while complying with internal standard procedures and practices;

    • Excellent communication skills, both verbal and written;

    • Ability to communicate with technical and non-technical people;

    • Effective team leadership and decision making skills with strong individual planning capacity.

    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
  • 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.
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