The Section provides support to all regional divisions in task related to quality control, monitoring and reporting on project progress and achievements. Data visualization enables clear communication on progress and results.

This assignment is focused on collecting, analysing, and developing comprehensive visualization tools in support to all functions of the Section and Division in general.

Quantitative and qualitative data analysis from TC Programme and TC projects will be developed to provide analytics for TCP Achievements; and backstopping monitoring TCPC functions-Country Programme Framework (CPF), Project Achievement Report (PAR), Project Progress Analysis Reports (PPAR) and Quality review process.

Functions / Key Results Expected

• Support the development of a database with portfolio data from all available sources for the period 2000-2024.
• Integrate data from TC portfolio with additional interventions on High-level initiatives delivered by the Agency (NA, NS, NE, etc).
• Provide the technical backup for the development of dashboards where data is accessible (CPF database, PPAR database, PAR database, etc.).

Qualifications and Experience

• University degree in engineering, statistics, IT or related area.
• Advanced skills and experience in Excel for data analysis
• Knowledge of data visualization and analysis tools
• Experience in quantitative and qualitative data analysis
• Experience in developing dashboards for data presentation is desirable
• Knowledge of Agenda 2030 and SDGs methodology and knowledge of the IAEA and TC programme is an advantage.
• Excellent oral and written command of English. Knowledge of another official IAEA language (i.e. Arabic, Chinese, French, Russian or Spanish) an asset.

Applicant Eligibility

• Candidates must be a minimum of 20 years of age and have completed at least three years of full-time studies at a university or equivalent institution towards the completion of a first degree.
• Candidates may apply up to one year after the completion of a bachelor's, master's or doctorate degree.
• Candidates must not have previously participated in the IAEA's internship programme.
• Good written and spoken English essential; fluency in any other IAEA official language (Arabic, Chinese, French, Spanish or Russian) an asset.
• Candidates must attach two signed letters of recommendation to their application.