Overview
Support data analytics, visualization, and learning for UNFPA's global Comprehensive Sexuality Education (CSE) portfolio. The role aims to establish foundational data infrastructure and tools, and transform CSE data into accessible visual products for evidence sharing and learning.
Key Responsibilities
- Support data analytics & visualization, including extracting, cleaning, analyzing, and synthesizing data from CSE baseline assessments and global programming monitoring.
- Produce visual outputs such as charts, graphs, dashboards, and visual summaries.
- Identify non-obvious trends, linkages, and unexplored areas across CSE datasets.
- Develop briefs translating technical findings into accessible formats.
- Support conversion of analytical findings into learning-oriented products.
- Translate global mapping of CSE interventions into a visual map and repository.
- Assist in organizing and structuring CSE-related datasets.
- Support optimization and organization of CSE datasets, visuals, and learning materials.
- Contribute to the roll-out of CSE learning products and Communities of Practice (CoPs).
- Prepare a handover package including source files, datasets, dashboards, a technical guide, and a walkthrough session.
Required Experience
- Minimum of 3 years of relevant experience in data analysis, visualization, or knowledge products.
- Strong ability to translate complex data into clear and accessible visuals.
- Experience using data visualization tools (Excel, Power BI, Google looker Studio, Tableau, R, Python, basic JavaScript or similar).
- Experience using AI-assisted tools for exploratory data analysis, trend detection, or narrative synthesis (e.g. Gemini, or equivalent).
- Experience with CSE, SRHR, education, or development data is an asset.
Qualifications
• Advanced University degree in Data Analytics, Statistics, Information Systems, or related fields.
