Expert Population Data Fellow, FGM Data and Research (Senegal)

Eligibility criteria

Minimum age: 35 years old. Nationals of the country of assignment are not eligible, except the assignments in Headquarters duty stations.

 

Description of task

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:

Coordinate the workplan and outputs of national experts on FGM analysis and research stationed in several countries within the region the FGM data and analysis expert is reponsible for.

Oversee statistical analysis with complex survey designs as well as descriptive data outputs delivered by national experts, such as visualistions of analytical results, through maps, figures, and charts, and tables supporting annual reports, among others;

Develop research protocol to collect and analyze qualitative data on female genital mutilation including data from the UNFPA-UNICEF Joint Programme on FGM;

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;

Perform any other related tasks as required or assigned by the supervisor.

 

Qualifications/Requirements

Required degree level: Bachelor degree or equivalent

Education - Additional Comments:

Masters preferred, bachelors (University undergraduate degree or equivalent) accepted in the quantitative and/or qualitative social sciences, such as demography, public health epidemiology, statistics, sociology, economics or related discipline (such as computer science).

 

Required experience: 180 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;

Computer skills (i.e. Word, Excel, PowerPoint, social media, and others);

Team leadership skills desirable;

Motivated to contribute towards peace and development and to serve others;

Experience in leading team working especially in research and data analysis

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.

 

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