Data Analyst At Food and Agriculture Organization of the United Nations

enumerators training, data quality control, performance analysis, weights, data cleaning, data analysis) for ComputerAssisted Telephone Interviews surveys and in-person surveys using Kobo;  Ensure that technical standards are applied in country surveys and alert on any issues;  Contribute to developing training materials / modalities and implementing training sessions in order to build the capacities of regional and country assessments specialists, and local partners, on the methodological materials;  Provide one-to-one technical support to regional and country assessment specialists on the use of the methodological materials, upon request;  Conduct quantitative data cleaning and analysis, upon request (country datasets, meta-analysis);  Assist in data management and archiving;  Contribute to lessons learnt exercises on assessment processes and tools, and propose improvements;  Provide ad hoc support to other OER units on survey design and data analysis;  Contribute to internal collaborations within the global Needs Assessment team, including recurrent meetings, workshops, working groups and linkages with relevant units;  Undertake travel, if needed and possible, in support of country offices;  Perform any other duties as required.

Organizational Setting

The Office of Emergencies and Resilience is responsible for ensuring FAO’s efforts to support countries and partners in preparing for and effectively responding to food and agricultural threats and crises by i) increasing the numbers of people reached in IPC 3 and above and ii) increasing the numbers of people supported to move out of IPC 3 and above from a humanitarian caseload onto pathways of resilience and development. FAO has mainstreamed a humanitarian, development, peace nexus approach and a localization agenda throughout its strategic positioning and programmatic design and implementation at country and regional levels. In this organizational setting, OER is responsible for coordinating the development and maintenance of corporate tools and standards to enable Decentralized Offices (DOs) to assist member countries to prepare for, and respond to emergencies as well as strengthen capacities of national and sub-national institutions and partners for resilience and risk-informed development. OER ensures humanitarian policy coordination and knowledge, liaison with the Inter-Agency Standing Committee as well as with humanitarian resource partners, co-leadership with World Food Programme of the global Food Security Cluster, organizational preparedness, surge capacity and response to large-scale emergencies. OER supports food and nutrition security and sectoral/systems assessments, early warning activities related to emergency and humanitarian analysis and responses. OER plays a major role in the development and leadership of the Organization’s programme to increase the resilience of livelihoods to food and agriculture threats and crises of the Organization’s programme in areas such as risk governance and coordination, anticipatory actions, disaster risk reduction, early warning and response in agriculture and food chain crises.

Within the OER, the Evidence for Programming unit aims to support the implementation and development of adequate capacities at all levels, especially at country level, to scale up data collection and analysis including also risk analysis to directly inform and design evidence-based emergency, anticipatory action and resilience programming and impact monitoring. As part of the Evidence for Programming unit, the Needs Assessment team is in charge of generating quality and timely evidence to inform programming, through three work streams:

 A monitoring system of agricultural livelihoods and food security in the context of various shocks in food crisis countries, consisting of periodic micro-data collection (through phone and in-person surveys) and analysis;

 Ex-post assessments of the impacts of shocks on agricultural livelihoods and value chains, using phased methodological approaches such as remote-sensing, damage & loss analyses, Post-Disaster Needs Assessments (PDNA), and other food security & livelihood surveys.

 Risk profiles, which are derived from geographic baselines of past events and their impacts on agricultural livelihoods. This stream is under development.

The various outputs of these three streams are visualized and disseminated through the Data in Emergencies hub (DIEM).

Reporting Lines

The Data Analyst will report to the Needs Assessment Team Leader, under the overall supervision of the Senior Technical Officer and the technical supervision of the Assessment Specialist. He/she will work in close collaboration with other members of the Needs Assessment team at the global, regional and country levels. He/she will develop linkages with other units, in particular the Statistics Division (ESS).

Technical Focus

The Data Analyst is responsible for assisting decentralized assessment specialists on survey design, data collection and data analysis. He/she is particularly in charge of establishing, disseminating, and controlling technical standards applied to the monitoring system, and to a lesser extent, ad hoc impact assessments.

Tasks and responsibilities

The Data Analyst will:

 Contribute to the development of methodological documents, including guidance documents, Standard Operating Procedures, tools, and scripts, in relation to the different steps of the data cycle (questionnaire design, sample design, enumerators training, data quality control, performance analysis, weights, data cleaning, data analysis) for ComputerAssisted Telephone Interviews surveys and in-person surveys using Kobo;

 Ensure that technical standards are applied in country surveys and alert on any issues;

 Contribute to developing training materials / modalities and implementing training sessions in order to build the capacities of regional and country assessments specialists, and local partners, on the methodological materials;

 Provide one-to-one technical support to regional and country assessment specialists on the use of the methodological materials, upon request;

 Conduct quantitative data cleaning and analysis, upon request (country datasets, meta-analysis);

 Assist in data management and archiving;

 Contribute to lessons learnt exercises on assessment processes and tools, and propose improvements;

 Provide ad hoc support to other OER units on survey design and data analysis;

 Contribute to internal collaborations within the global Needs Assessment team, including recurrent meetings, workshops, working groups and linkages with relevant units;

 Undertake travel, if needed and possible, in support of country offices;

 Perform any other duties as required.

CANDIDATES WILL BE ASSESSED AGAINST THE FOLLOWING

Minimum Requirements

 University degree in Statistics, Agricultural Economics or other relevant field;

 At least 2 years of relevant experience in large-scale food security, agriculture or other relevant surveys using statistical software packages (R, STATA, SPSS etc.);

 Working knowledge of English and limited knowledge of one of the other languages of the Organization (French, Spanish, Arabic, Chinese or Russian).

FAO Core Competencies

 Results Focus

 Teamwork

 Communication

 Building Effective Relationships

 Knowledge Sharing and Continuous Improvement

Technical/Functional Skills

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

 Advanced skills in sample design, data quality control and data analysis;

 Excellent command of R, STATA or SPSS, basic command of the other statistical software packages;

 Working knowledge of digital data collection applications (in particular Kobo toolbox);

 Knowledge of key food security and agricultural livelihoods indicators;

 Familiarity with Geographic Information Systems and dashboards;

 Experience in training others on survey design, implementation, and analysis;

 Strong individual planning capacity.