World Wildlife Fund (WWF), one of the world's leading conservation organizations, seeks a Senior Conservation Data Analyst/Engineer to join its Global Science team.
Help WWF revolutionize the way we use data and technology toidentifyconservation opportunities and measure andmonitorthe impacts of our conservation efforts. The Senior Conservation Data Analyst/Engineer will work with the Global Science team and the WWF network to analyze and maintain environmental and socio-economic data including, but not restricted to, WWF acquired data, government supplied data, commercially acquired data sets, and remotely sensed and in-situ spatial data. The Senior Conservation Data Analyst/Engineer will have broad experience with statistics, data visualization, data management, cloud-based data analysis infrastructures, and current data delivery mechanisms.Understanding ofconservation issues on global and local scales is an asset, as is experience working with multiple organizations to harmonize data and data management approaches. The key roles of the data analyst/engineer are to analyze and visualize existing data, work with WWF teams (including Global Science)in developing new analysis approaches, implement methodologies, anddevelop and maintain data storage and management systems, analysis pipelines, and visualization platforms.This 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.
Salary Range: $90,900 - $113,600
This position is hybrid in DC, with 2 days in the office (not eligible for relocation; applicants must relocate themselves).
Please note: Applicants must be legally authorized to work in the U.S. This position is not eligible for employment visa sponsorship.
In compliance with federal law, all persons hired willbe required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.