Senior Conservation Data Analyst/Engineer

World Wildlife Fund•Washington D.C., WA

About The Position

Help WWF revolutionize the way we use data and technology to identify conservation opportunities and measure and monitor the 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 of conservation 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, and develop 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.

Requirements

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.
Demonstrated experience applying analytical or engineering skills in a geospatial context is strongly preferred.
Proficiency in data Python and/or R for data analysis and automation.
Working knowledge of JavaScript for web mapping applications.
In day-to-day work, 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.
Comfort using AI-assisted workflows, including large language models (LLMs) or AI coding tools to help write code, automate repetitive geospatial tasks, or accelerate data processing pipelines.
Experience with AI tools in an ArcGIS or Python environment is a plus, curiosity and a willingness to grow with these tools is important
Experience with conservation, biodiversity, or ecology projects is an asset.
Exposure to and familiarity with environmental or spatial modeling concepts and familiarity with preparing model inputs and interpreting outputs.
Solid project management skills with the ability to produce high quality work under time constraints.
Proven ability to work collaboratively in a matrixed team environment.
Excellent interpersonal skills requiring knowing when to use courtesy, tact and/or diplomacy to effectively communicate with all constituents.
Ability to demonstrate integrity in deliverables, behavior, and demeanor.
Ability to show respect for the organization, the work, the team, and self.
Committed to building and strengthening a culture of inclusion within and across teams.
Identifies and aligns with WWF’s core values: COURAGE – We demonstrate courage through our actions, we work for change where it’s needed, and we inspire people and institutions to tackle the greatest threats to nature and the future of the planet, which is our home. INTEGRITY – We live the principles we call on others to meet. We act with integrity, accountability, and transparency, and we rely on facts and science to guide us and to ensure that we learn and evolve. RESPECT – We honor the voices and knowledge of people and communities that we serve, and we work to secure their rights to a sustainable future. COLLABORATION – We deliver impact at the scale of the challenges we face through the power of collective action and innovation.

Responsibilities

Support the development and application of data analysis and visualization methodologies and pipelines with the WWF scientists and program managers.
Manage product and projects to deliver key outputs including the Conservation Navigator
Perform analyses for select projects; apply advanced statistical and spatial analysis and programming as needed.
Manage GIS software licensing and distribute software licenses to all users in the Network.
Coordinate with software vendors to obtain and renew licenses and to handle support requests.
Maintain data repositories, including GIS servers (e.g., Google Earth Engine, ArcGIS Enterprise, and ArcGIS Online) by keeping software up to date.
Maintain knowledge of other data platforms, including cloud-based platforms (e.g., AWS, Google Cloud, Azure) and cloud-based relational databases for use as needed.
Develops and maintains data storage management systems, analysis pipelines, and visualization platforms to support conservation data needs.
Collaborates with WWF teams to develop and implement new analytical approaches and methodologies.
Analyzes and visualizes environmental and socioeconomic data to support decision-making and conservation outcomes.
Evaluates and applies new developments in technology, data analysis and open-source tools for analysis and data visualization (e.g. D3.js, QGIS, AI).
Other duties as assigned.