Advanced university degree (Master”s degree or equivalent) in wildlife ecology, statistics, environmental statistics, environmental science, or related fields is required. A first-level university degree in combination with two (2) additional years of qualifying experience may be accepted in lieu of the advanced university degree. Within the seven years of experience required, at least five years of relevant work experience in wildlife monitoring and biodiversity conservation. Within the seven years of experience required, at least five years experience in data analytics, statistical modeling, and their applications to conservation and development issues is required. Knowledge of MIKE data collection, submission and analysis systems is required. Within the seven years of experience required, at least four years of experience in using data analytics for addressing wildlife conservation, protected areas management, and other environmental/biodiversity questions in developing countries is required Within the seven years of experience required, at least five years of familiarity with a wide variety of data analysis software and methodologies, including knowledge of Bayesian statistical modelling is required. Within the seven years of experience required, at least five years of experience in preparation of peer-reviewed studies and reports is required. Within the seven years of experience required, at least five years of solid overall computer literacy, including proficiency in various MS Office applications (Excel, Word, etc.) and email/internet; knowledge of database management; and office technology equipment is required. Within the seven years of experience required, at least five years of ability to work and adapt professionally and effectively in a challenging environment; ability to work effectively in a multicultural team of international and national personnel is required. Experience with international organizations is an advantage Self-motivated, ability to work with minimum supervision; ability to work with tight deadlines.