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Data Capture, Analyst and Learning Research Officer

3 months ago

Nairobi, Nairobi Area, Kenya Center for International Forestry Research Full time


Job Description

Description

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ICRISAT wishes to recruit a Scientific Officer under its Technology Adoption and Impact (TAI) Analysis Cluster of the Enabling Systems Transformation (EST) Global Research Program. The position holder will support data collection, management, processing, and analysis for various projects that are implemented by the Enabling Systems Transformation (EST) Global Research Program to support ICRISAT's technology development and research for impact through profile product development, impact assessment and learning, and analysis of the enabling (political, policy, and socioeconomic) environment.

Duties and responsibilities:

  • Collect, clean and organize project and survey data for various projects.
  • Analysis of adoption and ex-post impacts of improved technologies on productivity, food security and poverty.
  • Analysis of productivity, technology adoption and efficiency.
  • Learning and support to develop market opportunities that increase adoption of research outputs.
  • Facilitate learning from data and monitoring.
  • Assist in project administration.
  • Coordinate and lead project field activities.
  • Any other duties as may be instructed by the Supervisor.

Requirements:

  • A Master's degree in Agricultural Economics or a related field.
  • Experience in management and analysis of data.
  • Field experience and synthesis of data and lessons for learning
  • Knowledge and savvy of data analysis software, especially Stata.
  • Very strong analytical skills and applied statistical experience.
  • Good scientific wring experience.

Education, knowledge and experience:

  • A Master's degree in Agricultural Economics or a related field.
  • Experience in management and analysis of data.
  • Field experience and synthesis of data and lessons for learning
  • Knowledge and savvy of data analysis software, especially Stata.
  • Very strong analytical skills and applied statistical experience.
  • Good scientific wring experience.

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