Senior Agricultural Statistics Expert

About the role

NTU International is seeking a Senior Agricultural Statistics Expert to support the EU‑funded project that assists Uzbekistan in implementing its Agri‑Food Development Strategy 2020‑2030. The role focuses on strengthening agricultural statistics systems, data governance, and evidence‑based policy development.

Key responsibilities

• Support the modernization of agricultural statistics systems and institutional data‑management frameworks.
• Provide technical assistance on data collection methodologies, statistical systems, and sector monitoring tools.
• Develop statistical indicators, agricultural databases, and evidence‑based monitoring frameworks.
• Conduct analyses of agricultural production, rural development, food systems, and agri‑food sector performance.
• Advise public institutions on statistical standards, data quality assurance, and information‑management systems.
• Harmonize methodologies with international standards and reporting requirements.
• Prepare statistical analyses, sector reports, technical studies, and policy monitoring frameworks.
• Coordinate with ministries, statistical agencies, research institutions, and development partners.
• Deliver workshops, technical training, and capacity‑building activities.
• Contribute to monitoring, reporting, and evaluation of agri‑food sector reforms.

Required profile

• Master’s degree in statistics, agricultural economics, data science, econometrics or a related field.
• Minimum 10 years of professional experience in agricultural statistics, statistical systems, data analysis or evidence‑based policy development.
• At least 7 years of experience specifically in agricultural statistics systems, surveys, databases or monitoring.
• Proven experience working on agricultural or statistical reform projects in developing or transition economies.
• Experience with international development cooperation and donor‑funded programmes.

Required skills

• Statistical analysis and modelling
• Survey design and methodology
• Data management and database development
• Monitoring and evaluation frameworks
• Knowledge of international agricultural statistics standards