Hiring a Sector Coordinator as a senior statistician for Administrative Data Production

REQUEST FOR EXPRESSIONS OF INTEREST

Individual Consultant Selection

Ethiopian Statistical Service (ESS)

Reference No.: ET-ESS-574801-CS-INDV

Hiring of Sector Coordinator (Senior Statistician) for Administrative Data Production

The Ethiopian Statistical Service (ESS) intends to recruit a Sector Coordinator (Senior Statistician) for Administrative Data Production under the Modernizing Ethiopia's Statistical System Project (MESSP) financed by the World Bank. The position will support the implementation of activities related to administrative data harmonization, quality assurance, statistical standards, institutional integration, and the production of official statistics from administrative data sources.

The Sector Coordinator will provide technical leadership and coordination for administrative data production and utilization within Ethiopia's National Statistical System. The successful candidate will work closely with sector ministries, regional bureaus, and development partners to strengthen administrative data systems, improve data quality, enhance institutional coordination, and support the production of high-quality official statistics.

Duty Station: Addis Ababa, Ethiopia.

Reporting: The consultant will report directly to the Desk Head, Statistics Standard and Quality under the Administrative Data Harmonization, Standard and Quality Chief Executive Officer (CEO) of the Ethiopian Statistical Service.

Contract Duration: Twelve (12) months, with annual performance-based renewal options up to 2031.

Minimum Qualification Requirements

Interested candidates should possess:

• Master's Degree in Statistics, Economics, Data Science, Demography, Public Policy, Information Systems, or another closely related quantitative discipline. A PhD in a relevant field will be an added advantage.
• At least ten (10) years of progressively responsible professional experience in official statistics, statistical system development, administrative data systems, data quality...