Field of Work
Analysis/Statistic - Humanitarian/Disasters
Minimum Education Level
Bachelor/ License Degree
Responsibilities
Objective/Purpose of the Role
Under the line management of the Country MEAL Manager, the IM Officer is responsible for maintaining and management of information systems across WW Syria mission. This includes supporting the technical design, implementation, quality, and monitoring of data processes. Particularly, the IMO designs and develops data collection and visualization tools and supports the creation of reporting products and the data management systems. The IMO will also provide technical inputs at all stages of relevant research cycles, including secondary data reviews, assessment conceptualization, research design, data cleaning, data analysis and production of information products (maps, factsheets, reports etc.).
The IMO will be part of WW’s MEAL department and will be required active coordination with other relevant departments.
Main duties and tasks:
1. Data Management, Reporting and visualization
• Support and oversee the rollout of data collection exercises and research for water governance, agriculture, and livelihood related studies.
• Interpret data and applied research findings and communicate and present/visualize results, limitations, and ideas relevant to WW programming and relevant sectors of intervention.
• Produce and update information products such as dashboards, reports and infographics using data visualization tools.
• Prepare and adapt study designs, survey samples, statistical models, and other data science applications.
• Draft and triangulate qualitative and quantitative information, including secondary data from thorough literature reviews, in form of comprehensive reports or research papers.
2. Technical Support
• Design and establish mechanisms, systems and protocols to ensure the quality of the data collected, analyzed, and reported.
• Draft end-user and/or technical documentation to support WW staff, seconded staff, partners or consortia in data management, handling and protection.
• Inter-departmental support in designing and reviewing research and data collection methodologies and tools.
• Conduct ad-hoc field visits and spot checks to ensure consistency in data management practices among WW, consortium partners and external consultants’ staff.
3. Capacity Building
• Jointly with WW MEAL Manager and Officers, plan and provide the necessary training, ensuring the staff is capacitated for data collection exercises and usage of MEAL tools.
• Capitalize on the experience and limitations identified in the mission to optimize general analytical process, data management and coordination, bringing in lessons learnt from implementation and analyses.
• Provide training to end-users on the use of standard data collection/management/analysis systems and tools.
Carry out other related activities as assigned by the MEAL Manager as deemed necessary.
Qualifications
MINIMUM QUALIFICATIONS REQUIRED
• University degree in computer and data science, mathematics and statistics, information technology, economics, engineering, social studies, or related fields.
• Minimum of 2-3 years of proven experience in using research methodologies and quantitative/qualitative data analysis (including collecting, cleaning, and triangulating information).
• At least 1-year of experience in humanitarian or development settings.
• Experience with statistics and data science toolkits (e.g., R, Stata, Python, etc.) and data visualization applications (e.g., MS Power BI, Qlik, Tableau).
• Solid computer literacy, including proficiency in MS Office applications (Excel, Word, PowerPoint, etc.)
• Ability to draft, report and communicate results internally and to external stakeholders.
• High proficiency in Arabic and English.
• Good coordination, flexibility, and adaptability to work within a multicultural team.
Desirable requirements
• Previous experience in working in Education/WASH/Water Governance, Livelihood or Emergency projects.
• Acquaintance with mapping tools, such as ArcGIS or QGIS.
• Experience in MEAL and Project Cycle Management.
• Experience with database management, including knowledge of database management languages (e.g. SQL).
The above list is a non-exhaustive one, nor limitative.
Specific Vacancy Requirements
In the process of recruitment, selection and appointment We World implement a range of procedures and actions including Criminal Background Checks/ International vetting/Certificate of good conduct to ensure children and vulnerable adults are safeguarded and abuse is prevented.
Only pre-selected candidates will be contacted, the applications will be reviewed as they are received and the position may be before the deadline.
Salary and Benefits
Salary will be established according to WW salary scale.
About us
MINIMUM QUALIFICATIONS REQUIRED
• University degree in computer and data science, mathematics and statistics, information technology, economics, engineering, social studies, or related fields.
• Minimum of 2-3 years of proven experience in using research methodologies and quantitative/qualitative data analysis (including collecting, cleaning, and triangulating information).
• At least 1-year of experience in humanitarian or development settings.
• Experience with statistics and data science toolkits (e.g., R, Stata, Python, etc.) and data visualization applications (e.g., MS Power BI, Qlik, Tableau).
• Solid computer literacy, including proficiency in MS Office applications (Excel, Word, PowerPoint, etc.)
• Ability to draft, report and communicate results internally and to external stakeholders.
• High proficiency in Arabic and English.
• Good coordination, flexibility, and adaptability to work within a multicultural team.
Desirable requirements
• Previous experience in working in Education/WASH/Water Governance, Livelihood or Emergency projects.
• Acquaintance with mapping tools, such as ArcGIS or QGIS.
• Experience in MEAL and Project Cycle Management.
• Experience with database management, including knowledge of database management languages (e.g. SQL).
The above list is a non-exhaustive one, nor limitative.
Required employees number
1