Data Analyst

Overview

Assist with data collection, analysis, and reporting for resilience and emergency programming

You have:

• University degree in Statistics, Agricultural Economics, Socio Economics, Food Security, Nutrition, or other relevant field
• At least 2 years of relevant experience in large-scale food security, agriculture or other relevant surveys using statistical software
• Working knowledge (level C) of English and limited knowledge (level B) of any other official language

Organizational Setting

The Office of Emergencies and Resilience (OER) 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. It is responsible for coordinating the development and maintenance of corporate tools and standards to enable Decentralized Offices to assist member countries to prepare for, and respond to emergencies. 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 assessment and 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.

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, all visualized and disseminated through the Data in Emergencies hub (DIEM):

• DIEM Monitoring - 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; • DIEM Impact - 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. • DIEM Risk - Risk profiles, which are derived from geographic baselines of past events and their impacts on agricultural livelihoods. This stream is under development.

In addition, FAO conducts a variety of regular and ad-hoc food security and agriculture livelihood data collection exercises across its members countries, as part of project monitoring activities, including baseline / midline / endline data collection to ensure rigorous project impact measurement and thematic analysis of resilience and food security measurements like RIMA and standard food security composite indicators. These assessments are supported by FAO’s Regional Offices.

Reporting Lines

The Data Analyst will report to the OER Emergency and Rehabilitation Officer and/or the Regional Senior Resilience Officer. S/he will work in close collaboration with the OER Needs Assessment team, regional monitoring and assessment advisors, as well as the Food Security and Nutrition Survey unit of the Statistics’ Division and other members of Monitoring and Evaluation and Resilience Teams at global, regional, and country levels. S/he will develop linkages with other units, as relevant.

Technical Focus

The Data Analyst is responsible for assisting regional and country office teams with data collection tool design, data collection quality control and data analysis, as well as reporting and presentation of results. S/he is in charge of establishing, disseminating, and controlling technical standards applied to data collection, quality control and analysis for the resilience monitoring system, and/or impact assessments. S/he ensures minimum standards on reporting outline, FAO format and presentation of results.

Tasks and responsibilities

• 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 Computer-Assisted 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; • Support to the data collection process – design of tools; sampling processes; data quality control; data processing and data analysis. • Ensure that assessment tools comprehensively cover agriculture modules (crop, livestock, fisheries, forestry) to ensure formulation of appropriate questions and indicators to answer policy questions. • Support to the data analysis process - 'translate' program needs into viable evaluation questions and address them with rigor; analyze data using primary and secondary information – baseline data, etc.; establish contextual baseline secondary data to support interpretation of data collection results. • Support the data analysis for thematic institutional indicators and tools – support the analysis of FAO’s RIMA, and other internationally standardized indicators (HDDS, FCS, LCS, FIES etc.) to inform program and implementation. • Support review of reporting of results and methodological approaches for donor reports and publications. • Support coordination and implementation of activities with FAO teams, partners, service providers and other stakeholders. • 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, Socio Economics, Food Security, Nutrition, 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 (.), including experience with the reporting, visualisation and presentation of results and recommendations from assessments, monitoring, and evaluations; • Working knowledge (level C) of English and limited knowledge (level B) of any other official language of the Organization (Arabic, Chinese, French, Spanish, Russian). For PSA, working knowledge (level C) of English.

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); • Excellent command of Microsoft Word, PowerPoint, power Bi, Tableau or other reporting and visualization software; • Excellent command of the English language, and ability to write clear and concise reports in English. • Knowledge of key food security and agricultural livelihoods indicators; • Familiarity with Geographic Information Systems and dashboards; • Experience in training others on survey design, implementation, analysis and reporting; • Ability to solve problems and provide creative solutions; • Strong individual planning capacity.

Apply now

Potential interview questions

Added 3 years ago - Updated 1 year ago - Source: fao.org