Senior Conservation Data Analyst/Engineer
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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.
- 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.
- Key Competencies
- Analytical thinking
- Data Communication and Visualization
- Project ownership
- Problem solving in complexity
- Skills and Abilities
- 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.
- 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
Benefits
Additional Information
Major Function 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.
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