Senior Conservation Data Analyst/Engineer - R4458

Full-time Paid Relocation: None Compensation: USD 90,900 - USD 113,600 - yearly Company Description Since our founding in 1961, WWF has been committed to protecting nature and its resources. We understand that nature is our planet’s greatest asset, intrinsically linked to human survival — and that it needs our help. Our work to reverse nature loss and conserve biodiversity has never been more urgent. As the world’s leading conservation organization—with offices on six continents and in nearly 100 countries—our global reach includes the world’s most critical forests, river systems, wetlands, savannas, and ocean habitats. By conserving these places and supporting sustainable livelihoods within them, we can keep the Earth in balance for people, wildlife, and the planet. Job Description Major Function Help WWF revolutionize the way we use data and technology toidentifyconservation opportunities and measure andmonitorthe impacts of our conservation efforts. 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. 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 withWWFteams (including Global Science) in developing newanalysis approaches, implementmethodologies, anddevelop andmaintaindata storageand management systems, analysispipelines,and visualization platforms. Thisposition willbe responsible forcontributing to the advancement of automated and semi-automated approaches forefficient and responsivegeospatial data processingandanalysesforkey conservation metrics. Key Responsibilities Supportthe development and application of data analysis and visualization methodologiesand pipelineswith the WWFscientistsand program managers. Manage product and projects to deliver keyoutputs includingthe Conservation Navigator Perform analyses for select projects; apply advanced statistical and spatial analysis and programming asneeded. 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 andmaintainsdata storage management systems,analysispipelines, 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 appliesnewdevelopments in technology, data analysis and open-source tools for analysis and data visualization (e.g.D3.js, QGIS, AI). Other duties as assigned. Qualifications Analytical thinking Data Communication and Visualization Project ownership Problem solving in complexity Skills and Abilities 6yearsof professional experience in data analysis or data engineering, or3years 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. In day-to-day work,abilityto 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-basedplatforms fordatastorage,processing,andanalysis. 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 toand familiarity withenvironmental 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,tactand/or diplomacy to effectively communicate with all constituents. Ability todemonstrateintegrity 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. Identifiesand 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. Additional Information Due to the high volume of applications we receive, we regret that we are unable to respond to phone inquiries. 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 will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Relocation is not provided for this position. World Wildlife Fund (WWF) promotes equal employment opportunities for all qualified individuals regardless of age, race, color, sex, religion, national origin, disability, veteran status, or any other characteristic protected under applicable law. By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply #J-18808-Ljbffr World Wildlife Fund, Inc.