Data Support Officer- OES
The candidate must be eligible to work in Cameroon.
MAJOR DUTIES AND RESPONSIBILITIES
• Support on field data collection on IWT and ILAT
• Liaise with the project sub-awardees and any other external partners in accordance with the work plan.
• Support on compilation and research findings across the project.
• In coordination with the Project Manager complete a comprehensive literature review relating to illegal wildlife and illegal timber trade in Cameroon, including any connectivity to other crime types.
• Support on the writing of reports and production of the relevant project outputs.
• Support on analytical research, and identify emerging trends and issues from the research findings.
• Liaises and works closely with relevant the TRAFFIC teams (WiTIS, AFRICA-TWIX especially) and represents TRAFFIC at relevant events in case of the absence of the Project Manager.
• Provide inputs for quarterly/annual donor progress reports or others as required.
Under the supervision of Project Manager, the Data Support Officer will benefit from his coaching, technical backstopping and mentoring for questions linked to the position when ever needed.
• Bachelor or A university degree in a relevant discipline (e.g., statistics sciences, Agro-economy, forestry, biology, environment or any other relevant field).
• Prior experience on data collection and managing is required.
• Strong ability to synthesize information, with strong writing skills.
• Excellent working knowledge of English and French.
• Excellent organizational skills with ability to prioritize, meet deadlines and consider adaptive management when needed.
• Good interpersonal and leadership skills and ability to work effectively as part of a diverse team, with respect for and sensitivity to multi-cultural approaches.
• Knowledge and previous working experience in development, wildlife trade (including on forest and marine resources), environmental crime and related law enforcement issues preferred but not essential.
• Knowledge and previous working experience in data collection, compilation and analysis is an advantage.
• Ability to perform various data analytics in SQL and MS Excel using statistical models and other database management tools.
• Ability to work independently and show initiative in developing innovative approaches.
Applicants are requested to apply online through the HR Management System, by opening the vacancy announcement and pressing the "Apply" button.
Applicants will be asked to create an account and submit their profile information. Applications will not be accepted after the closing date. The vacancy closes at midnight, Swiss time (GMT+1 / GMT+2 during Daylight Saving Time, DST). Please note that only selected applicants will be personally contacted for interviews.
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