Agroecological Systems Analyst

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Description

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• Support the design of research projects in agroecology with an eye to ensuring they will be able to collect high-quality data to address project goals.
• Design surveys and focus group discussion guides for data collection.
• Translate questions into digital collection tools such as ODK and Kobo Collect to emphasize question quality, data validation framework and option relevance.
• Train enumerators and team members on data collection, interviewing and note-taking for easy translation to viewable data.
• Undertake literature reviews and other desk-based data collection methods.
• Ensure data are stored in secure and ethical ways.

• Clean and curate data to enable analysis.
• Design data analysis frameworks that connect the available data to the expected results and formulate hypotheses.
• Conduct exploratory data analysis to uncover insights in the data that will advise the next course of analysis action.
• Analyze data to test hypotheses and create predictive models using R or Python.
• Create visualizations and graphs of the data, including using spatial tools such as QGIS.

• Contribute to the development of digital dashboards that allow stakeholders to interact with data, including:
• Farmer dashboards with personalized data collected in projects.
• Metrics dashboards/databases allowing users to develop monitoring systems using existing metrics.
• Project dashboards showing implementation progress or other metrics aimed at donors/investors.

• Interact with multiple actors (farmers, development actors, donors, NGO etc.) to ensure user-centred design of dashboard/database interfaces.
• Develop presentations, briefs, data visualizations or other tools to report on data/results to diverse stakeholders, particularly policy makers developing agroecological strategies.
• Disseminate research results and original ideas through diverse channels, including giving presentations, attending conferences, or other fora.

• Contribute to peer-reviewed publications, particularly supporting the writing of methods and results sections.
• Contribute to project reporting and presentation of results to stakeholders.
• Write briefs/info notes on results of data analyses, such as ROI of agroecology, or performance of novel holistic metrics for diverse audiences.

• Ensure high-quality data collection in the field through training and supervising teams of enumerators and field technicians.
• Manage field work budgets as appropriate the ensure collection of high-quality data and smooth stakeholder engagement.
• Supervise junior data analysts and research assistants.

• Contribute to the development of proposals related to agroecology, sustainable food systems monitoring, climate adaptation, or other strategic areas through idea development, writing and contributing data/analyses.
• Other Duties as commensurate with the position and assigned by the supervisor.

• Master’s Degree in Data science, Statistics, or related field such as Agriculture, Environmental Science, Economics, with demonstrated analytical skills.
• Minimum of 3 years relevant professional level work experience.
• Experience in designing experiments to answer targeted questions and conducting exploratory data analysis.
• Strong technical skills in statistical analysis, data modeling, programming languages (R or Python), and machine learning to solve problems/predict patterns in scientific projects, and visualizing results.

• Master’s Degree in Data science, Statistics, or related field such as Agriculture, Environmental Science, Economics, with demonstrated analytical skills.
• Minimum of 3 years relevant professional level work experience.
• Experience in designing experiments to answer targeted questions and conducting exploratory data analysis.
• Strong technical skills in statistical analysis, data modeling, programming languages (R or Python), and machine learning to solve problems/predict patterns in scientific projects, and visualizing results.

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