Description

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.

Qualifications/Requirements

Required degree level: Bachelor degree or equivalent

Education - Additional Comments:

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.

Required experience: 24 Months

Experience remark:

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.

Language skills:

English(Mandatory), Level - Fluent

French(Mandatory), Level - Fluent

Area of expertise: Statistics

Driving license: No

Competencies values:

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