Data Visualisation Consultant at DAI Global
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

28 Nov, 25

Salary

0.0

Posted On

28 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Learning, Government Officials, Knowledge Sharing, Research

Industry

Financial Services

Description

COMPETENCIES

The Centre is seeking an individual consultant with the following competencies:

  • Demonstrated expertise in use of international aid databases and data standards (such as OECD DAC aid statistics, UN OCHA Financial Tracking Service, data published to the International Aid Transparency Initiative (IATI) standard);
  • Experience and creative flair in data visualisation and communication;
  • Experience with interactive data platform creation.
  • Experience with aid data methodologies and curating novel datasets;
  • Experience in data analysis using programming languages, such as R and Python.
  • Familiarity with international aid reporting standards, policy and influencing.

The Centre produced its annual flagship report on the State of Pre-arranged Financing (PAF) for Disasters in 2023 and 2024. For the 2025 edition, the Centre is publishing an interactive data platform to sit on the website, offering users easy access to disaggregated data from the core PAF dataset to provide stakeholders working on international development finance, including government officials, disaster risk financing practitioners, academics and civil society organisations with reliable, up-to-date information on available instruments and their financing flows in a centralised hub. The dashboard will fill this gap by providing a centralised hub for knowledge sharing, improved transparency and more informed, strategic decision making by:

  • Providing a comprehensive overview of the PAF landscape to support users understand the range of PAF instruments and providers
  • Providing information regarding what instruments governments and organisations are using to manage their financial risks associated with disasters
  • Standardising PAF data for comparability, facilitating learning and knowledge sharing
  • Enabling monitoring and trend analysis at the granular level by allowing users to identify detailed information and shifts by country, region, year, level of coverage, timing, recipient and provider, building on the aggregate data included in the annual PAF report
  • Allowing stakeholders to use the data for policy, programming and research purposes and supporting country level DRF diagnostics
  • Visualising the distribution of PAF data by region, income group and other characteristic

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

The Centre produced its annual flagship report on the State of Pre-arranged Financing (PAF) for Disasters in 2023 and 2024. For the 2025 edition, the Centre is publishing an interactive data platform to sit on the website, offering users easy access to disaggregated data from the core PAF dataset to provide stakeholders working on international development finance, including government officials, disaster risk financing practitioners, academics and civil society organisations with reliable, up-to-date information on available instruments and their financing flows in a centralised hub. The dashboard will fill this gap by providing a centralised hub for knowledge sharing, improved transparency and more informed, strategic decision making by:

  • Providing a comprehensive overview of the PAF landscape to support users understand the range of PAF instruments and providers
  • Providing information regarding what instruments governments and organisations are using to manage their financial risks associated with disasters
  • Standardising PAF data for comparability, facilitating learning and knowledge sharing
  • Enabling monitoring and trend analysis at the granular level by allowing users to identify detailed information and shifts by country, region, year, level of coverage, timing, recipient and provider, building on the aggregate data included in the annual PAF report
  • Allowing stakeholders to use the data for policy, programming and research purposes and supporting country level DRF diagnostics
  • Visualising the distribution of PAF data by region, income group and other characteristics

The Centre is looking to identify a technical expert in aid data to support the further development of this data visualisation tool to accompany the publication of this year’s report in November 2025.

Loading...