Data Analyst - National Dynamic Social Registry

Position: Data Analyst - National Dynamic Social Registry (NDSR)

Duty Station: Deputy Prime Minister's Office (DPMO), Mbabane, Eswatini

Background:

The Government of the Kingdom of Eswatini, through the Deputy Prime Minister's Office (DPMO), is developing the National Dynamic Social Registry (Imbeleko), to strengthen its Social Safety Net Programmes (SSNP). The social registry aims to establish a robust and comprehensive national system for objective, transparent and scientific identification of poor and vulnerable households for social programmes and planning, using welfare scoring methods such as the Proxy Means Testing (PMT).

Purpose of the Assignment:

Under the Eswatini Youth Employment Opportunities Project (EYEOP), the DPMO is seeking a Data Analyst to support data requirements for the development of the social registry. The Data Analyst will support the NDSR Unit by managing data processing workflows, running household welfare scoring algorithms, performing analytical assessments, and producing data-driven insights.

Key Responsibilities:

• Data Management and Analysis: Clean, validate, and manage datasets; conduct data quality assessments; integrate multiple data sources; generate and update household welfare scores; develop analytical reports on targeting accuracy.
• Statistical and Analytical Reporting: Conduct trend analysis, cross-tabulations, simulation, impact evaluation or clustering analysis; develop visualization tools; compile data for national and international reporting.
• Data Governance and Compliance: Apply data protection and privacy principles; develop SOPs for data access; manage data-use requests.
• Capacity Building and Collaboration: Train NDSR staff and regional data officers; support identification and targeting of youth for the EYEOP project.
• Reporting and Technical Documentation: Prepare analytical summaries; document data processing workflows; compile data for national and international reporting obligations.

Qualifications:

• Bachelor's degree in Data Science, Statistics, Econometrics, or related field and understanding of socioeconomic development and relevant indicators.
• A master's degree in related field is an advantage.

Experience:

• At least five years of experience in data analysis, or database management, preferably within social protection or public sector projects.
• Must demonstrate successful completion of at least two (2) similar nature and complexity assignments.
• Demonstrated proficiency in SQL and relational databases (PostgreSQL or MySQL preferred), data modelling and ETL processes.
• Experience with scripting languages such as Stata, Python or R Studio for data analysis and reporting.
• Demonstrated expertise with welfare scoring algorithms.
• Proven ability to handle large datasets and perform data cleaning, validation, merging, transformation, processing, and modelling.
• Understanding of data protection, privacy and cybersecurity principles.
• Strong analytical and visualization skills using tools like Power BI, Tableau or open-source equivalents.

Contract Details:

• Duration: 12 months, renewable based on performance and project needs
• Remuneration: Monthly payment
• Level of Effort: Full-time, with occasional travel to regional offices

Reporting Arrangements:

The Data Analyst will report to the Head of the National Dynamic Social Registry Unit under the DPMO. Administrative oversight will be provided by the Principal Secretary, DPMO.