Data Entry Specialist
Manage data entry and analysis for food security initiatives
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Overview
Manage data entry and analysis for food security initiatives
You have:
- University degree in science (BSc).
- Working knowledge (Level C) of English and limited knowledge (Level B) of one of the other FAO languages (Arabic, Chinese, French, Russian or Spanish).
- At least 2 years of data entry or related office experience.
- Knowledge of statistical software, such as SPSS, R, STATA.
- Very good knowledge of the MS Office applications, Internet and office technology equipment.
Organizational Setting
The Integrated Food Security Phase Classification (IPC) is a global, multi-partner innovative initiative to facilitate decision-making with improved food security analysis. The IPC is a set of tools and protocols for classifying the severity and nature of food insecurity that integrates food security, nutrition, and livelihood information into a clear statement about the nature and severity of food insecurity and implications for response. IPC incorporates a meta-analytical approach drawing on evidence-based analysis that includes a broad range of data sets and stakeholders. This global initiative is governed and strategically guided by fifteen major food security and nutrition agencies: Action Against Hunger, Care International, Comité Permanent Inter-Etats de Lutte contre la Sécheresse dans le Sahel (CILSS), Joint Research Centre of the European Union (JRC), Famine Early Warning Systems Network (FEWS NET), FAO, Food Security Cluster, Global Nutrition Cluster, Intergovernmental Authority on Development (IGAD), Oxfam, Southern African Development Community (SADC), Save the Children, Sistema de la Integración Centroamericana (SICA), UNICEF and WFP. The IPC Global Support Unit (GSU), hosted within ESA, is the operational arm of the SC and is responsible for the coordination of IPC normative development, IPC global standards on quality and compliance, as well as the global coordination of capacity building support to IPC activities worldwide.
Reporting Lines
The Data Entry Specialist reports to the IPC Technical Development Team Leader.
Technical Focus
The incumbent will be responsible for data management, analysis, and other tasks as defined by the Technical Development Team Leader. The incumbent will undertake the following activities with guidance and supervision from the Technical Development Team Leader and the Senior Information System Advisor.
Tasks and Responsibilities
• The Data Entry Specialist will undertake the following duties; • Data Entry and Management • Assess data sources, quality, frequency, and reliability • Establish a general data entry strategy with workplans, protocols, and timeline • Organize and enter data into IPC digital platforms using standard tools • Recommend new/improved methods of data acquisition and entry • Maintain task definitions in Project Management Tool • Establish data set organization and maintain/update as required
Attain IPC Level 1 certification • Based on opportunities as they arise, participate in IPC Level 1 training and IPC in-country analysis exercises. • Attend to training and analysis sites as possible. • Following attendance at these events, draft short reports based on the experience, including recommendations for improvements. • Regularly update the IPC Technical Development Coordinator and IMS Advisor on work plan progress, informally and formally, briefing on relevant issues and discussions that may arise, seeking guidance and decisions as necessary. Undertake other related tasks of GSU as needed and requested by the IPC Technical Development Coordinator
CANDIDATES WILL BE ASSESSED AGAINST THE FOLLOWING
Minimum Requirements
• University degree in science (BSc). • Working knowledge (Level C) of English and limited knowledge (Level B) of one of the other FAO languages (Arabic, Chinese, French, Russian or Spanish). For PSA.SBS the working knowledge of English might be sufficient. • At least 2 years of data entry or related office Experience.
FAO Core Competencies
• Results Focus • Teamwork • Communication • Building Effective Relationships • Knowledge Sharing and Continuous Improvement
Desirable Qualifications and Skills
• Knowledge of statistical software, such as SPSS, R, STATA • IT Skills: Very good knowledge of the MS Office applications, Internet and office technology equipment
Assessment
• Evaluation of qualified applicants may include an assessment exercise and a technical / competency-based interview
Potential interview questions
| Can you describe a time when you had to manage large sets of data? | This question assesses your experience and comfort level with data management processes. | Provide specific examples of how you organized and analyzed data, focusing on any tools or methods you utilized. |
| How do you ensure the accuracy and quality of your data entry? | The interviewer wants to know your approach to maintaining data integrity. | Pro members can see the explanation. |
| Tell me about a challenge you faced in a team environment and how you resolved it. | Pro members can see the explanation. | Pro members can see the explanation. |
| What methods do you use for organizing and categorizing data? | Pro members can see the explanation. | Pro members can see the explanation. |
| How would you handle tight deadlines while entering data? | Pro members can see the explanation. | Pro members can see the explanation. |
Added 4 years ago
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Updated 1 year ago
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Source:
fao.org
