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Human Resources
Management System


Data Support Officer- OES

Vacancy #:   5823
Unit:   TRAFFIC Central Africa
Organisation:   TRAFFIC International (TRAFFIC)
Location:   TRAFFIC - Central Africa, Yaounde, Cameroon
Reporting to:   Project Manager- OES
Work percentage:   100%
Grade:   A3
Expected start date:   01 January 2022
Type of contract:   Fixed-term (25 months with possibility of renewal)
Closing date:   13 December 2021
We are seeking to appoint a Data Support Officer for a new project that intends to document and understand the convergence of conservation crimes that focuses on wildlife, forestry, fishing and minerals, delivered largely through desktop research and analysis. The project aims to identify, analyze, and map the illicit networks and the dynamics associated with these conservation crimes in Indonesia, and its related points of convergence, such as modus operandi, routes, transportation and supply chains. This includes where they may be associated with other crime types such as money laundering, with an overall objective of providing practical solutions to governments and partners to address conservation crimes more holistically as a group. This project will also include similar activities and wider research trends consolidating information from other project implementation countries including Indonesia, Vietnam, and Brazil.

The candidate must be eligible to work in Cameroon.
The successful candidate will assist in the management and implementation of a 2-year project. The Data Support Officer’s role is to support in ensuring that the lines of effort across the entire project are cohesive together with the Project Manager for Cameroon and other project staff globally. He/she will also be responsible of collecting data related to Illegal Wildlife Trade (IWT) and Illegal Logging and Associated Trade (ILAT) issues. The candidate will support the production of project outputs, including comprehensive reports of research findings and ensuring its appropriate dissemination. The Data Support Officer is also responsible of providing inputs for donor reports.


• 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.

Other job opportunities are published in the IUCN website: http://www.iucn.org/involved/jobs/

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