Senior Conservation Data Analyst/Engineer (26078)

World Wildlife Fund (WWF) is recruiting a Senior Conservation Data Analyst/Engineer to join its Global Science team and help WWF revolutionise the way it uses data and technology to identify conservation opportunities and measure the impacts of its conservation efforts. The Senior Conservation Data Analyst/Engineer will work with the Global Science team and the WWF network to analyse and maintain environmental and socio-economic data, including WWF-acquired data, government-supplied data, commercially acquired data sets, and remotely sensed and in-situ spatial data.

The role calls for broad experience with statistics, data visualisation, data management, cloud-based data analysis infrastructures and current data delivery mechanisms. The key roles of the data analyst and engineer are to analyse and visualise existing data, work with WWF teams in developing new analysis approaches, implement methodologies, and develop and maintain data storage and management systems, analysis pipelines and visualisation platforms. The position will be responsible for contributing to the advancement of automated and semi-automated approaches for efficient and responsive geospatial data processing and analyses for key conservation metrics.

Specific responsibilities include supporting the development and application of data analysis and visualisation methodologies and pipelines with WWF scientists and programme managers; managing product and project delivery including the Conservation Navigator; performing analyses for select projects with advanced statistical and spatial analysis and programming as needed; managing GIS software licensing and distributing licenses to all users in the network; coordinating with software vendors to obtain and renew licenses and handle support requests; maintaining data repositories including GIS servers (Google Earth Engine, ArcGIS Enterprise, ArcGIS Online); maintaining knowledge of other data platforms including cloud-based platforms (AWS, Google Cloud, Azure) and cloud-based relational databases; developing and maintaining data storage management systems, analysis pipelines and visualisation platforms; collaborating with WWF teams to develop and implement new analytical approaches; analysing and visualising environmental and socioeconomic data to support decision-making; and evaluating and applying new developments in technology, data analysis and open-source tools (D3.js, QGIS, AI).

Required qualifications include 6+ years of professional experience in data analysis or data engineering, or 3+ years with an advanced degree in GIS, geography, computer science, data science, environmental science (with a quantitative focus) or a related field. The role requires the ability to routinely automate geospatial analyses, data processing and reporting using tools such as ArcGIS, QGIS, Python or others rather than relying on manual workflows; working knowledge of cloud-based platforms for data storage, processing and analysis; proficiency in Python and/or R for data analysis and automation; working knowledge of JavaScript for web mapping applications; comfort using AI-assisted workflows including large language models or AI coding tools; exposure to environmental or spatial modelling concepts; and solid project management skills.

Conservation experience and AI agility are strongly preferred. Experience with AI tools in an ArcGIS or Python environment is a plus.