esearch partnership for a food secure future. The mandate of IFPRI is to
identify and analyze alternative national and international strategies and
policies for meeting world food needs in ways that conserve the natural
resource base, with emphasis on low income and on the poorer groups in the
countries.

• Carry
  out various tasks regarding data management and data analysis (consistency
  and quality checks of data, trend analysis, spreadsheet models for
  forecasting quarterly and annual input and output indicators)
• Regularly
  monitor M&E data flows received from HarvestPlus country programs in
  Asia and Africa, and provide summary analysis of trends regarding input,
  process and output indicators seeking to measure programs’ performance
  (e.g. data regarding warehousing, seed multiplication and seed sales, and
  related cost data)
• Assist
  in the statistical analysis of survey data from household and
  institutional-level surveys from different countries
• Compile
  and write brief technical reports on results of data analysis
• Assist
  in the preparation of PowerPoint presentations, graphs, tables, background
  papers, discussion papers, and monitoring and evaluation reports
• Assist
  with implementation of training activities and workshops/seminars of the
  Policy Research Unit of HarvestPlus
• Carry
  out some administrative activities in support of the Policy Research Unit
  of HarvestPlus

• The
  applicant should hold a Bachelor’s degree or equivalent in business
  management, economics, agricultural economics, business statistics or
  related fields
• Possession
  of a Master’s degree in any of the above- mentioned academic fields is an
  advantage
• At
  least one year postgraduate experience in quantitative data analysis,
  preferably related to data from agribusiness operations, agricultural and
  food value chains, and/or rural household surveys
• Strong
  English writing skills and mathematical/analytical skills
• Excellent
  knowledge of and documented work experience with spreadsheet software such
  as MS Excel or MS Access
• Good
  working knowledge in statistical software such as SPSS or STATA
• Proven
  ability to handle multiple tasks and produce completed products on time
• Good
  computer skills i.e. Proficiency in word processing and presentation
  software.
• Self-motivated,
  innovative spirit and excellent interpersonal and team skills and the
  ability to work with colleagues from diverse cultures
• Working
  knowledge of spatial analysis software such as ArcView, or of business
  operations research software (e.g. for cost accounting)