Short Term Engagement of Individual Consultant to Develop data sharing policy

Lead the consultancy to develop a data sharing policy for sustainable development.

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UNDP - United Nations Development Programme

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Application deadline 5 years ago: Wednesday 21 Apr 2021 at 23:59 UTC

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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.
Added 5 years ago - Updated 1 year ago - Source: jobs.undp.org