Senior Conservation Data Engineer: Geospatial Analytics

World Wildlife Fund; Washington (District of Columbia); Hybrid; USD 90,900 - 113,600; Full time

Job summary

World Wildlife Fund is seeking a Senior Conservation Data Analyst/Engineer to enhance data usage in conservation efforts. You will collaborate with global teams to analyze, visualize, and manage environmental and socio-economic data.

The role requires expertise in data analysis, programming (Python, R), and adeptness with GIS tools. Preferred experience includes cloud computing and AI technologies. This position is hybrid in Washington, DC, requiring self-relocation.

Qualifications

• 6+ years experience in data analysis or engineering, or 3+ years with an advanced degree.
• Ability to automate geospatial analyses using tools rather than manual workflows.
• Experience with AI tools in ArcGIS or Python is desirable.

Responsibilities

• Support the development of data analysis methodologies and pipelines.
• Manage projects to deliver key outputs including the Conservation Navigator.
• Perform statistical and spatial analyses for select projects.

Skills

Data analysis

Programming (Python, R)

Geospatial analysis

Project management

Data visualization

Collaboration

Education

Bachelor's or advanced degree in GIS, geography, computer science, or data science

Tools

ArcGIS

QGIS

AWS

Google Cloud

Job description

World Wildlife Fund is seeking a Senior Conservation Data Analyst/Engineer to enhance data usage in conservation efforts. You will collaborate with global teams to analyze, visualize, and manage environmental and socio-economic data.

The role requires expertise in data analysis, programming (Python, R), and adeptness with GIS tools. Preferred experience includes cloud computing and AI technologies. This position is hybrid in Washington, DC, requiring self-relocation.