Digital Tool & Dashboard Development Support Volunteer
Support the Tech4R programme to build resilient digital solutions.
Overview
Support the Tech4R programme to build resilient digital solutions.
You have:
- Educational background in computer science, data science, information systems, statistics, or related fields.
- Experience with data visualization tools like Power BI, Superset, or similar.
- Familiarity with Kobo Toolbox, ODK, or SurveyCTO.
- Knowledge of machine learning or data automation is an advantage.
- Ability to design simple, user-friendly interfaces.
- Experience in testing digital tools for usability and performance.
- Clear communication of technical concepts to non-technical stakeholders.
- Ability to work independently in a diverse, global team.
Contract
This is a UNV contract. More about UNV contracts.
The Tech Volunteers for Resilience (Tech4R) programme mobilizes skilled digital volunteers to co-create open-source solutions for disaster preparedness and response. This role will support the first cohort of Tech4R volunteers by strengthening resilience efforts in Armenia. UNDP Armenia and Tech4R are piloting a modular disaster data system. Beyond field data collection, there is a need for real-time dashboards and AI-enhanced tools to help decision-makers interpret data, detect anomalies, and allocate resources effectively. Volunteers will form the technical development team, responsible for building and testing these solutions.
The Volunteer Tool & Dashboard Development Support will: • Develop and customize digital survey forms (XLSForms) in Kobo Toolbox/ODK. • Build interactive dashboards in Power BI, Superset, or open-source equivalents. • Integrate AI or automation features to: o Flag anomalies in data o Summarize trends o Suggest priority actions • Ensure dashboards are user-friendly, multilingual, and accessible to diverse stakeholders. • Conduct functionality testing, troubleshoot bugs, and refine workflows. • Collaborate with the Tech4R team to align tools with resilience and emergency response needs.
• Educational Background: Computer science, data science, information systems, statistics, or related fields. • Technical Skills: Experience with data visualization tools (Power BI, Superset, or similar); familiarity with Kobo Toolbox, ODK, or SurveyCTO. • AI/Analytics: Knowledge of machine learning or data automation is an advantage. • UX/UI: Ability to design simple, user-friendly interfaces. • Testing & QA: Experience in testing digital tools for usability and performance. • Communication: Clear communication of technical concepts to non-technical stakeholders. • Collaboration: Ability to work independently in a diverse, global team.
Potential interview questions
| Can you describe your experience with data visualization tools and how you've used them in previous projects? | The interviewer seeks to understand your practical experience with visualizing data. | Provide specific examples of projects where you utilized data visualization tools effectively. |
| How do you approach designing user-friendly interfaces for diverse stakeholders? | The interviewer wants to assess your design thinking and user-centered approach. | Pro members can see the explanation. |
| Describe a situation where you had to integrate feedback while developing a digital tool. What steps did you take? | Pro members can see the explanation. | Pro members can see the explanation. |
| What methods do you use for testing and refining digital tools? | Pro members can see the explanation. | Pro members can see the explanation. |
| Can you explain a complex technical concept to someone without a technical background? | Pro members can see the explanation. | Pro members can see the explanation. |
| Give an example of how you've collaborated with remote teams to achieve project goals. | Pro members can see the explanation. | Pro members can see the explanation. |
| How would you handle a situation where your automation tool flags anomalies that may be false positives? | Pro members can see the explanation. | Pro members can see the explanation. |
| What inspired you to apply for this volunteer role in disaster preparedness and response? | Pro members can see the explanation. | Pro members can see the explanation. |