Data Analyst (in China)

You 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 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;
• 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.

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).
• 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.
• A VPN is required to respond to a vacancy.