Population Data Fellow, FGM Data and Research (Senegal)
Minimum age: 22 years old. Applicants must be nationals of or legal residents in the country of assignment.
The FGM Data Fellows Programme will be coordinated by the Chiefs of the Gender & Human Rights (GHRB) and Population Data (PDB) Branches which will provide leadership and overall guidance. Technical supervision and monitoring will be under the responsibility of FGM focal points at country/regional level and/or under the Technical Specialist at PDB and the Monitoring & Evaluation Specialist at HQ/FGM coordination level. The Fellow will be assigned to the following tasks:
- Learn and apply statistical techniques to analyze data collected through complex survey designs, such as DHS and MICS;
- Feed UNFPA’s global databases with indicators on FGM at national and regional level;
- Contribute to studies and research using a combination of survey and the Joint Programme data to provide new knowledge and evidence on FGM
- Visualize analytical results, through maps, figures, and charts, and tables supporting annual reports, among others;
- Contribute to the development of informational brochures and material to support evidence-based communication and advocacy for the UNFPA-UNICEF Joint Programme to Eliminate FGM at national and regional level;
- Respond to data requests by national and regional entities, the Coordinator and Monitoring and Evaluation Focal Point of the Joint Programme to Eliminate FGM, as well as Headquarters;
- Contribute to GBV knowledge, specifically the KnowVAW data
- Perform any other related tasks as required or assigned by the supervisor.
- University undergraduate degree or equivalent in the quantitative and/or qualitative social sciences, such as demography, public health epidemiology, statistics, sociology, economics or related discipline (such as computer science), Master’s degree preferred.
- Demonstrated interest and/or experience in applied statistics, public health, epidemiology, or demography;
- Working knowledge of relevant statistical packages (particular in R, or related statistical tools/packages such as SAS, Stata or SPSS) and willingness to learn (or existing familiarity with) GitHub or version control systems;
- Knowledge on gender related studies, especially on harmful practice including female genital mutilation is an asset;
- Demonstrated experience in the use of GIS software (such as ArcGIS or QGIS) is an asset;
- Familiarity and experience in carrying out descriptive statistical analysis;
- Familiarity with qualitative data collection and analysis;
- Computer skills (i.e. Word, Excel, PowerPoint, social media, and others);
- Motivated to contribute towards peace and development and to serve others;
- Good interpersonal, networking and communication skills;
- Willingness to contribute and work as part of a team;
- Flexible and open to learning and new experiences;
- Respect for diversity and adaptability to other cultures, environments and living conditions;
- Previous experience as a volunteer and/or experience of another culture, (i.e. studies, volunteer work, internship) would be highly regarded
- Open to work remotely and willing to travel in other countries.
- English(Mandatory), Level - Fluent
- French(Mandatory), Level - Fluent
Adaptability and Flexibility, Commitment and Motivation, Commitment to Continuous Learning, Communication, Ethics and Values, Integrity, Planning and Organizing, Professionalism, Respect for Diversity, Working in Teams
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* Already registered in the UNV Talent Pool?
1. Please first update your profile at https://vmam.unv.org/candidate/profile.
2. Then go to ‘My Page’ at https://vmam.unv.org/candidate/mypage and click on the ‘Special Calls’ hyperlink to select the special call to which you would like to apply.
Application deadline: 21 August 2020