Under the overall supervision of the Programme Management Officer , in the Knowledge and Innovation Branch, the consultant will be responsible for the following tasks: Lead advanced data analysis for four key projects.
- Compile and organize datasets: Gather and structure existing data to support all four projects, establishing a central analytical resource.
- Define analytical processes: Develop standardized methodologies and analytical frameworks to ensure consistency across all projects.
- 2026 NUA Report: Develop tailored data analysis and statistical modelling.
- SDG11 Report: Develop tailored data analysis and statistical modelling.
- Best Practices Database: Develop tailored data analysis and evaluation frameworks.
- WUF13 Live Report: Develop tailored data analysis for real-time event metrics.
- WUF13 Post-Event Report: Develop tailored data analysis for post-event data analysis.
- Data Quality Management: Ensure accuracy, completeness, and consistency across datasets.
- Documentation: Develop analytical methodology documentation and user guides for all projects.
Qualifications/special skills
- Advanced university degree (master’s degree or equivalent) in Data Science, Data Analytics, Statistics, Computer Science, Information Technology, Business Analytics, or any other related science course is required.
- A first-level university degree in combination with two (2) additional years of qualifying experience may be accepted in lieu of the advanced university degree.
- A minimum of 2 years of experience in data visualization and presentation experience required.
- Data analysis and statistical research experience required. Database management experience is required. Workshop design and implementation experience