Tasks and Responsibilities


Under the direct guidance of the Head of the SDG and Environment Statistics Unit, of the Early Warning and Data Analytics Branch of the Early Warning and Assessment Division of UNEP, the contractor will perform the following tasks;
Regularly monitor the progress of countries on the development of a national source inventory on plastic pollution, including in the marine environment.
Prepares digital outputs as required, e.g. draft background papers, analyses, sections of reports and studies, inputs to publications, etc. Support capacity building activities in three countries: Indonesia, Jordan and Burundi. Amendment 01 Support the implementation of the Statistics and Data Project “Resilient and agile National Statistical Systems to meet post-COVID-19 data needs to recover better” under the 14th tranche of the United Nations Development Account (DA14 project).
This Project is expected to strengthen the capability of NSS of target countries to collect, process and disseminate data and statistics to inform COVID-19 recovery policy and to enhance the resilience and agility of NSS of beneficiary countries to respond to emerging economic, social and environmental data needs in times of crises and disasters through the use of innovative data sources, advanced data acquisition methods and modern technologies, while ensuring a path towards the achievement of the 2030 Agenda. In particular, the DA14 project supports several countries to strengthen the System of Environmental-Economic Accounting, as well as Climate Change and Disaster-related statistics at the national level. The individual contractor will support capacity building activities in three countries: Indonesia, Jordan and Burundi.


Qualifications/special skills


High School Diploma is required.
A Master's degree in environmental science is desirable. Data science, information science or a related field is desirable.
At least 2 years of experience in data analysis including experience with environmental SDG indicators data is required.
  • Data
  • Business Analysis and AI
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