Short Term Engagement of Individual Consultant to Develop data sharing policy
Lead the consultancy to develop a data sharing policy for sustainable development.
Overview
Lead the consultancy to develop a data sharing policy for sustainable development.
You have:
- A minimum of a master’s degree (or equivalent degree) in statistics, social sciences, economics, or another relevant discipline is required.
- At least 5 years of work experience on sustainable development and statistics for development are required.
- Fluency in written and spoken English is required.
- Working knowledge of another UN language like Arabic would be an asset.
- Extensive experience of working with relevant datasets and knowledge of limitations and gaps in relation to SDG statistics.
- Strong familiarity with the 2030 Agenda and the SDGs and sound understanding of the UN System's strategic approaches for its implementation and monitoring is an asset.
- Experience in conducting quantitative research, literature reviews and/or producing similar gap analysis on data for development or SDG-related statistics is required.
- Excellent knowledge of UN policies and practices related to sustainable development is an asset.
Contract
This is a National Consultant contract. More about National Consultant contracts.
Background
To apply for this consultancy assignment, please check below link to view the terms of reference and other documents
https://procurement-notices.undp.org/view_notice.cfm?notice_id=77035
Duties and Responsibilities
Please check below link
https://procurement-notices.undp.org/view_notice.cfm?notice_id=77035
Competencies
- Excellent Knowledge in SDGs data analysis and reporting
- Excellent research and analytical skills.
- Skilled working with statistical analysis and IT tools.
- Excellent communication skills (written and oral).
- Good record of publications on data and statistics for development, particularly issues related to data disaggregation.
Required Skills and Experience
Academic qualifications:
- A minimum of a master’s degree (or equivalent degree) in statistics, social sciences, economics, or another relevant discipline is required.
Experience:
- Extensive experience of working with relevant datasets and knowledge of limitations and gaps in relation to SDG statistics
- At least 5 years of work experience on sustainable development and statistics for development are required.
- Strong familiarity with the 2030 Agenda and the SDGs and sound understanding of the UN System's strategic approaches for its implementation and monitoring is an asset.
- Experience in conducting quantitative research, literature reviews and/or producing similar gap analysis on data for development or SDG-related statistics is required.
- Excellent knowledge of UN policies and practices related to sustainable development is an asset.
Language:
- Fluency in written and spoken English is required.
- Working knowledge of another UN language like Arabic would be an asset
Technical and financial proposals along with CV & 3 references should be submitted and attached as one file, and without such will not be considered).
(Only Short Listed Candidates will be contacted)
Potential interview questions
| Can you describe your experience with data analysis related to sustainable development? | This question helps to understand your practical experience in the field. | Provide specific examples of projects or work where you analyzed data for sustainable development. |
| How do you keep up with the latest developments in SDG statistics? | The interviewer wants to know your commitment to continuous learning in the field. | Pro members can see the explanation. |
| Can you give an example of a challenge you faced in your previous data projects and how you overcame it? | Pro members can see the explanation. | Pro members can see the explanation. |
| What tools or software do you find most effective for data analysis? | Pro members can see the explanation. | Pro members can see the explanation. |
| Describe a situation where you had to communicate complex data findings to a non-technical audience. | Pro members can see the explanation. | Pro members can see the explanation. |