RESPONSIBILITIES
Working with the School’s wildlife economy research team, this position will:
Conduct statistical analysis and data modeling related to the wildlife economy for countries across Africa.
Develop appropriate practical and reporting tools to better understand and represent the wildlife economy in Africa to promote public and private investment.
Write comprehensive reports on various economic models and relevant results related to wildlife economy activities, illustrating both current and potential values.
Draft policy briefs and communication materials aimed at government stakeholders
Engage with government entities and policymakers to promote research findings and influence decision-making processes.
Cross-tabulate, analyze, and interpret wildlife economy data for reports, presentations, and marketing tools.
Collaborate with cross-functional teams to integrate research findings into actionable strategies that support the School’s initiatives.
Support the planning and execution of workshops, seminars, and presentations to disseminate research findings and foster engagement with stakeholders.
This role will report to the School’s Director of Research
IDEAL CANDIDATE
Post-graduate degree (Masters or PhD) in Economics, Business, Statistics, or a related field.
3-5 years of professional experience in economic and business modeling.
Proven experience in data collation and coding, with proficiency in R preferred .
Strong writing skills, with the ability to create clear and concise reports and policy briefs.
Experience engaging with government entities or stakeholders in the conservation sector would be an advantage.
Excellent attention to detail, rigor, and efficient task management.
Experience working in a multicultural, dispersed team.
Flexible and comfortable with change—exhibiting a “startup” mindset.
Excellent communication skills; written and spoken English is essential, with and/or Portuguese being an added advantage.
Understanding of the wildlife economy and business of conservation in Africa is a plus
This role could be remote but preferably located in Kigali, Rwanda
Apply via :
job-boards.greenhouse.io
