Overview
The Senior Statistical Assistant provides operational support to the UIS Foresight, Research and Innovation Section, ensuring data integrity, effective knowledge management, and smooth workflow for analytical and methodological work.
Key Responsibilities
- Support implementation of the Section's work programme, including SDG 4 coordination, strategic foresight, and methodological development
- Track workplans, timelines, and deliverables across multiple workstreams
- Maintain structured tracking tools (e.g., task lists, document logs, input matrices)
- Support coordination of inputs from internal teams and external partners
- Compile, clean, validate, and update datasets related to SDG 4 indicators and analytical work
- Maintain databases, indicator series, and metadata, ensuring consistency and version control
- Prepare datasets for reporting, analysis, and dissemination
- Document and archive datasets and related materials
- Conduct structured background research supporting foresight exercises, methodological development, and SDG 4 reporting
- Compile and synthesize information into briefing notes, tables, charts, and summaries
- Support preparation of analytical inputs for reports and presentations
- Maintain organized repositories of technical documents, guidance materials, and meeting records
- Ensure version control and accessibility of documents
- Support drafting and formatting of technical notes, guidance documents, and meeting summaries
- Support preparation and organization of technical meetings, workshops, and consultations
- Assist with agenda preparation, compilation of background documents, and follow-up on action points
- Facilitate communication with partners and Member States (logistical and documentation support)
- Provide logistical and administrative support for missions, workshops, and contracts
- Support procurement and coordination processes as required
- Contribute to the smooth day-to-day functioning of the team
Required Experience
At least eight (8) years of relevant experience in data processing, database management or programme support, including demonstrated experience supporting projects with several moving parts and organizing meetings and logistics.
Qualifications
Completed secondary education, or technical or vocational schooling.
