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- Strong programmatic fluency for data analytics.
- Experience with R, including scripting, functional programming, package management, markdown and shiny. Python experience a plus.
- Experience with R in a cloud/AWS environment, specifically reading and writing to s3, redshift, or other cloud-based data storage.
- Project management with version control in git/bitbucket.
- Proficiency in statistical analysis methods and data visualization techniques to interpret climate-related datasets.
- Ability to construct effective and clean visualizations including charts, tables, and maps for use in analytics.
- Experience with custom CSS or js in R is a plus.
- Experience with data management and database systems for organizing and accessing large volumes of climate-related data, prefer experience with Redshift, and S3.
- Experience with large data management techniques such as partitioning, multi-threading, parquet, Spark/Hadoop, etc.
- Familiarity with GIS (Geographic Information Systems) software and spatial analytics tools for mapping and analyzing geospatial data related to climate impacts.
- Experience creating and publishing dashboards in Tableau, specifically end-to-end pipeline execution - creating data extracts, optimization, dashboard design and build, publishing to Tableau server, scheduling and refresh.
- Non-technical requirements: "Need to have" to "Nice to have" descending:
- Strong analytical and problem-solving skills to identify and address challenges related to climate change mitigation and adaptation strategies.
- Experience in conducting risk assessments and scenario planning for climate-related impacts on businesses or communities.
- Excellent communication skills to convey complex climate data and analysis results to diverse stakeholders effectively.
- Knowledge of climate science principles and understanding of climate change models and projections.
R/Shiny Developer - McLean, United States - Technology Ventures
