The United Nations Volunteers (UNV) programme contributes to peace and development through volunteerism worldwide. We work with partners to integrate qualified, highly motivated and well supported UN Volunteers into development programming and promote the value and global recognition of volunteerism. UNV is administered by the United Nations Development Programme (UNDP) and reports to the UNDP/UNFPA/UNOPS Executive Board.

We are recruiting to fill the position of:

Job Title: Volunteer (Collect data on Quality of education in Nigeria Case study productivity in Nigeria Universitiy)

Location: Nigeria
Host Entity: United Nations Volunteers Nigeria
Duration: 12 weeks
For how many hours per week will the volunteer be required: 6 – 10
Type: Online
Sustainable Development Goal: 4. Quality education
Expected Start Date: Invalid Date
Description of Assignment Title: Collect data on Quality of education in Nigeria Case study productivity in Nigeria Universitiy

Context

• Discuss and consolidate indicators and datasets for the analysis exercise
• Develop research question and define method and tool for the analysis
• Suggest indicators and tabulation plan to conduct analysis
• Conduct analysis of data and identify relevant trends, patterns, and key findings
• Develop a report, according to agreed reporting plan, including visualization and narrative interpretations of findings as required.

Task Description

• For the collection of data on [area/topic], we seek support from one Online Volunteers, who will:
• Discuss and define objective as well as data collection methodology
• Develop or identify a methodology tool for data collection, if required, and propose implementation plan
• Identify and screen for data sources
• Conduct data collection using defined methodology and tools from selected sources
• Create/prepare report capturing findings
• The Online Volunteer/s will have the opportunity to build connections with the team and learn about the ways in which data can support this activities.

Requirements
Required Experience:

• Candidates should have in-depth understanding of concept of data collection and experience in conducting qualitative/quantitative data collection.
• An Advanced Degree in the area of Data to be collected is considered an advantage.
• Professional level of verbal and written English is required

Languages:

• English, Level: Fluent, Required
• Hausa, Level: Working knowledge, Desirable
• Igbo, Level: Working knowledge, Desirable
• Yoruba, Level: Working knowledge, Desirable.

Application Closing Date
13th October, 2022.