Supporting Secondary Data Review for Evidence-Based Decision-Making
Support the Secondary Data Review process for evidence-based decision making.
This opening expired 6 months ago.
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Overview
Support the Secondary Data Review process for evidence-based decision making.
You have:
- Bachelor's degree or equivalent in Economy, Journalism, International Relations, Science, Environment, or other relevant areas.
- At least 1 year of experience in analytical function, performing reviews, drafting reports, and briefs.
- Strong analytical and writing skills as well as the ability to provide and present data in a concise manner are required.
- Knowledge of the international development context (desirable).
- Deep understanding of Ukrainian context, awareness about key political and state authorities, and main processes related to recovery and development in Ukraine.
- Solid overall computer literacy.
Contract
This is a UNV contract. More about UNV contracts.
The Data Team within the Policy and Programme Coherence Unit provides real-time data insights, analytics, and coordination support to inform decision-making processes. Online Volunteers will be supporting the process of Secondary Data Review: reviewing analytical products and tagging them according to the provided analytical framework.
A Secondary Data Review (SDR) is a research technique used to obtain information to create a clear analytical overview. An analyst undertaking an SDR takes into account multiple pieces of secondary data in order to create a coherent as possible picture on a specific topic.
This is an Online/Remote Volunteering opportunity, please read the conditions that apply for Online Volunteering.
The Online Volunteers will be required to support this task daily (3-4 hours per day) on Secondary Data Review. in support of UNDP Ukraine's program management activities, in particular, this will require: • Search for relevant data, reports, and publications using defined indicators. • Record sources in the shared tracker with complete metadata to ensure traceability and avoid duplication. • Review logged materials and tag documents, web pages, and reports according to the provided Analytical Framework. • Verify the accuracy and consistency of information during the review; flag outdated or conflicting data for validation. • Translate essential findings (main messages) from Ukrainian to English as needed. • Edit and format Secondary Data Review outputs for clarity and consistency. • Provide reviewed and formatted content for internal knowledge products, including Biweekly Digests, Thematic Digests, Community Profiles, etc.
The Online Volunteers will receive an onboarding training, weekly e-meetings, regular feedback and support with regard to the task.
Assessment Evaluation of qualified candidates may include an assessment exercise which may be followed by an interview.
Free of charge Please consider that Online Volunteers do not receive any volunteer living allowances or any other kind of financial compensation or benefits. For further information please visit this website: https://www.unv.org/become-online-volunteer
Education: • Bachelor's degree or equivalent in Economy, Journalism, International Relations, Science, Environment, or other relevant areas.
Experience: • At least 1 year of experience in analytical function, performing reviews, drafting reports, and briefs. • Strong analytical and writing skills as well as the ability to provide and present data in a concise manner are required. • Knowledge of the international development context (desirable). • Deep understanding of Ukrainian context, awareness about key political and state authorities, and main processes related to recovery and development in Ukraine. • Solid overall computer literacy.
Potential interview questions
| Can you describe your experience with analytical functions and report writing? | The interviewer wants to understand your direct experience relevant to the role's requirements. | Discuss previous roles where you performed similar tasks and the outcomes of your efforts. |
| How do you ensure accuracy and consistency when reviewing data? | This question assesses attention to detail and quality assurance methods. | Pro members can see the explanation. |
| What research techniques do you find most effective for secondary data review? | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you handle conflicting information when conducting data reviews? | Pro members can see the explanation. | Pro members can see the explanation. |
| What tools do you use for data collection and tracking? | Pro members can see the explanation. | Pro members can see the explanation. |
| Describe a time when you had to communicate complex data findings to a non-technical audience. | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you prioritize your tasks when working on multiple data projects? | Pro members can see the explanation. | Pro members can see the explanation. |
| What motivates you to volunteer in roles like this? | Pro members can see the explanation. | Pro members can see the explanation. |
Added 6 months ago
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Updated 6 months ago
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Source:
unv.org
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