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Senior Specialist: NMSI Technical Lead

16 hours ago5 views
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General Details
Advertised By:Agency
Company Name:Executive Placements
Job Type:Full-Time
Description

Qualification and Experience

  • Degree in Ecology, Biology, Geographic Information Systems or Data Science or equivalent qualification at NQF 7.
  • A postgraduate qualification at NQF 8 will be an added advantage
  • 8 years of work experience in the relevant field, 4 years of which should be in first line management position(s).
  • Experience and knowledge of spatial and non-spatial data analysis and data science methods and processes, including the use of programming languages (preferably R or python), version control, relational databases, and statistical and spatial analysis methods.
  • Experience in data science in the environmental sector preferably working with biodiversity/environmental-related indicators.
  • Proficiency in Microsoft 365 is essential.
  • Understanding of research processes and outputs, ideally related to state of biodiversity assessment and reporting.
  • Knowledge of international biodiversity related multilateral environmental agreements, such as the Convention on Biological Diversity.
  • Project management experience, including coordinating teams of staff and external contributors, and managing donor-funded project finances and reporting to donors.
  • Knowledge about government, human resources, procurement, and financial management policies at project level would be an added advantage.

Key Performance Responsibilities

  • Manage the donor-funded National Monitoring Support Initiative project finances, governance and reporting.
  • Design and implement the monitoring system to ensure effective reporting against the monitoring framework of the GBF and NBSAP.
  • Oversee the sourcing, developing and management of data to be utilised for the national biodiversity monitoring system, and manage relationships with data providers.
  • Oversee and manage development and implementation of indicator-related data analyses and other workflows; ensure appropriate databasing; ensure correct computation of indicators.
  • Implement and drive change, human capital development and transformation.

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