The Information Management Assistant will act as the field office data focal point. S/he will help coordinate data and information management between the programme, the implementing partners, and the Monitoring, Evaluation and Learning Team at the Area Office. S/he will support the Core Competency (CC) Project Manager(s)/Project Coordinator(s) and implementing partner(s) with data collection, analysis, records management and storage, and reporting.
Responsibilities
Support in updating of Indicators Performance Table (IPT) at the Field Office.
Gathering, organizing, and maintaining information in a systematic and efficient manner.
Supervise data capture processes to ensure they are implemented according to plans and agreed standards, (verifying data against MoVs)
Provide analysis of information and data to identify the trends and patterns and preparing reports to communicate the findings.
Manage data entry into GORS, ensuring data is entered timely and accurately.
Maintain CC files, databases, and other archives documenting project progress.
Provide training and support to NRC and partner staff on data capture, analysis, and use.
Maintain CC-specific portion of data capture, analysis, and warehousing platforms (e.g., Collect and SharePoint) is well organised and accessible.
Liaise with IMO and other units on areas of common responsibility.
Requirements:
Minimum 1-2 years of experience in an international NGO, preferably in M&E, Data management or Information Management System (IMS).
Bachelor’s Degree in computer science, social studies, development studies or higher diploma in Economics, Monitoring and Evaluation or similar with at least 1-2 years of active professional experience in data management, preferably in an emergency or post-conflict setting.
Thorough experience with developing databases and beneficiary-tracking tools.
Demonstrated ability in electronic data collection, data cleaning and analysing.
Excellent knowledge of Microsoft Office, databases, and data analysis tools.
Experience with qualitative and quantitative data collection and analysis.
