Support research preparation activities, including desk research and literature reviews, under supervision.
Assist on multiple research and advisory projects simultaneously, contributing defined components of project workplans.
Support internal and external engagements by preparing materials, notes, and follow-up documentation.
Assist in interpreting research questions and identifying relevant data sources, in consultation with Senior Analysts, Associates, or Senior Associates.
Contribute to draft reports, presentations, and internal briefs by summarizing findings and highlighting key insights.
Support data-related tasks, including sourcing, cleaning, organizing, and basic analysis of datasets, and work closely with data and programming teams as required.
Assist in the design, testing, and administration of quantitative and qualitative survey instruments, including formatting, survey programming coordination, and basic analysis.
Support data collection activities, including field coordination, monitoring data quality, and flagging issues to supervisors.
Contribute to experimental designs, proposals, pitch decks, and literature reviews as assigned.
Support project onboarding and off-boarding processes, including documentation and knowledge management activities.
Assist with project logistics related to content delivery, such as preparing timelines, coordinating meetings, and tracking deliverables.
Maintain and update project trackers and timelines; flag upcoming deadlines and risks to Senior Analysts or Associates.
Ensure that project work is communicated clearly to relevant internal teams (e.g., operations, finance, procurement) with guidance from supervisors.
Perform other project-related tasks as assigned by the Project Lead or supervisor.
Requirements
A Bachelor’s degree in Economics, Social Sciences, Behaviour Science, or related fields.
Previous experience working in climate, sustainability, and agriculture is desirable
Experience supporting fieldwork and research studies is required. Qualitative and quantitative research or data analytic skills are required
0–1 years of relevant work or internship experience in research, consulting, policy, or a related field.
Basic understanding of experimental or quasi-experimental research concepts.
Good organizational skills and ability to manage assigned tasks effectively.
High attention to detail and commitment to producing accurate, high-quality work.
Demonstrate curiosity, a growth mindset, and a willingness to learn in a fast-paced environment.
Ability and willingness to travel to project locations as assigned, including within the Global South.
Familiarity (basic or introductory level) with tools such as R, STATA, Python, or similar statistical software is an asset but not required.
Tech Stack
Python
Benefits
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