|Published||November 3, 2022|
|Job Type||Full Time|
The consultant will assist in data cleaning, storage and visualisation of the ongoing survey of the general population of Ukraine, including the design and creation of dashboards using BI platforms.
Organizational Department / Unit to which the Consultant is contributing:
IOM Mission to Ukraine, Emergencyc& Stabilization Unit, Data and Analytics section
Core Funtion and Responsabilities:
Process and cleaning datasets, code open-ended questions, harmonize and standardize data and relevant documentation to aid data preservation and storage, as well as analytical reporting.
Analyze, model, visualize, and publish data using data visualization and BI platforms (such as Microsoft Power BI, HighCharts etc.).
Support the unit’s Data Analyst in responding to data requests by humanitarian partners, and in preparatory coordination on data sharing in full respect of IOM’s Data Protection Principles.
Assist in developing a survey data archive in line with IOM ICT data standards compliance and best practices, including the systematisation of information and the creation of the integrated survey database containing the information from across survey rounds to support the dissemination of survey results via data-sharing platforms to the global humanitarian and research communities.
Supporting the preparation of analytical reports and products, preparing infographics based on the data collected within IOM sample surveys, and data available from other sources for further dissemination among the government and non-government stakeholders.
In coordination with other IM colleagues, make suggestions to IOM management for other opportunities for data gathering, analysis and analytical materials preparation (reports, infographics, pagers, booklets, maps).
Perform such other duties as may be assigned.
University degree in Information Management, Computer Science, or a related field from an accredited academic organisation
At least 3 years experience using some or all of the following tools: Microsoft Excel, SPSS, R, Stata, MySQL, SQL server, Microsoft PowerBI and/or HighCharts