International Committee of the Red Cross
Role description
The Regional Protection Data Analyst will support the already established Regional Protection Data Office to enhance its capacities in providing three main services.
- Data services: ad-hoc development of data analytics products and prototypes, providing support and advice on data collection, visualization and processing (including external data).
- Evidence support: development of consistent methodology to support regional issues and the priorities in the delegations.
- Data literacy: raise awareness on the criticality of consistent data collection, as well as on the potential opportunities of using data to enhance ICRC’s operations.
Responsibilities
- Ensures rigorous methodological approach both qualitative and quantitative to data collection, analysis, visualization and reporting that will provide an in-depth understanding about the humanitarian situation related to Protection situation and ICRC’s activities in the Region.
- Contributes to the reflection, development and implementation analysis to help optimize and strengthen evidence-based protection action, regional strategy and operational dialogue.
- Supports Protection teams to identify and develop opportunities to use data analytics to transform information into insights that can support operations.
- Builds reports, dashboards and visualizations combining quantitative and qualitative methods and produces visual and reader-friendly analytics.
- Performs ad-hoc researches and data extraction requests and explores new data sources and analytical techniques.
- Supports Data Analysts based in the delegations, contributes to the sharing of ideas and methods across the region (including organization of workshops).
- Supports the Regional Data Managers and Regional Advisors with analysis of regional priorities, providing advice on consistent data collection and identifying points to be standardized.
- Contributes to the mapping of available regional external data resources and builds partnerships with other organizations based in the Region.
- Links up with other teams across the ICRC to ensure a multidisciplinary approach to data analysis.
- Is the focal point on the region to link to external organizations and partners in the topics related to data and information management for protection thematics.
- Contributes response to emergencies in the region.
- Supervises directly one staff; is the technical referal for two to three staff.
Desired profile and skills
- Advanced university degree or equivalent in Statistics, Economics, Social Sciences, Computer Sciences or related.
- 8 - 10 years overall professional experience in Data Analytics.
- Previous experience in or strongly motivated by humanitarian work.
- Fluency in SQL and Python/R, or any other relevant scripting languages.
- Experience in data analysis and statistical methods.
- Storytelling ability through visually clear reports and dashboards, both dynamic and static.
- Very good written and oral communication skills.
- Excellent command of English.
- Spanish, French or Arabic an asset.
Our operational & field constraints
- In line with the principle of neutrality, the ICRC dœs not assign personnel to a country of which they are nationals
- Candidates must be in good health and must meet medical health checks requirements before qualifying for field deployment
- Candidates must hold a driving license for manual transmission vehicles and be able to drive such vehicles independently in unfamiliar terrain
- Candidates must be prepared to accept unaccompanied postings (i.e. no spouse, partner, children or dependents) for at least the first 6 months
What we offer
- Rewarding work in a humanitarian and multicultural environment
- Competitive employment package
- Opportunities for further in-house training
- Join an ICRC talent pool and be considered for future assignments elsewhere
Additional information
- Type of role: International
- Starting date: 14 October 2019
- Length of assignment: 18 months
- Location: Amman, Jordan
- Deadline for application: 06 September 2019