Harnessing Insights: x6 UNV Online Volunteers Analyzing Thematic Reports for Global Impact
Harnessing Insights: x6 UNV Online Volunteers Analyzing Thematic Reports for Global Impact
- Description of assignment title: Analyse content of thematic reports across UNFPA Programme Countries
- Assignment country: United States of America
- Sustainable Development: Goal 5. Gender equality
- Host entity: United Nations Population Fund, HQ
- Type: Online
- Deadline: May 1, 2025
The UNV 6 Online Volunteers initiative empowers individuals to analyze thematic reports, transforming data into actionable insights. By leveraging diverse expertise, volunteers enhance understanding and drive solutions for critical global challenges facing communities worldwide. United Nations Volunteers is an equal opportunity programme that welcomes applications from qualified professionals. As part of their adherence to the values of UNV, all UN Volunteers commit themselves to combat any form of discrimination, and to promoting respect for human rights and individual dignity, without distinction of a person’s race, sex, gender identity, religion, nationality, ethnic origin, sexual orientation, disability, pregnancy, age, language, social origin or other status.
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Responsibilities
Number of assignments: Assignment region/country 12 (3 English speaking, one each on demographic, social, or economic thematic topics); (3 French speaking , one each on demographic, social inclusion, or economic thematic topics); 3 Spanish and 3 Arabic.
Under the supervision of the UNFPA Programme Specialist:
- Censuses and Surveys, each volunteer will review a set of census thematic reports (shared in Google drive) and fill out a Google Form (developed and shared by UNFPA) to collect data that can be used for report templates. UNFPA is looking for 6 experienced Online Volunteers.
- The Google Form will collect data in a standardised way on the following elements: generic content; topic specific content; gender and social inclusion; geographical disaggregation; data disaggregation; statistical complexity (descriptive to advanced); SDGs measured; International statistical standards followed; geospatial methods applied; derived index inclusion; use of population projections etc.
- The google sheet will include information to guide standardisation of responses.
- Most responses will be categorical with some open ended responses to capture unique elements.
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Requirements
- Candidates should have previous experience in either demographic, social or economic data analysis.
- A degree in social sciences, population studies, demographics, applied statistics or related field will be an advantage.
- High proficiency in reading and writing in either English or French
