Ag Data Analyst
Ag Data Analyst
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Job Description
Company Overview
At were redefining the future of agricultural insurance through the power of data science software innovation and industry-leading analytics. With deep roots in agriculture and decades of combined experience in risk modeling underwriting strategy geospatial intelligence and climate science were building the next generation of parametric insurance products tailored for modern farming.
Our proprietary platforms integrate cutting-edge predictive analytics remote sensing technologies and hyper-local climate data to provide precise transparent and scalable solutions for producers and insurers alike. From developing advanced underwriting models to deploying intuitive digital tools for customers every product we build reflects our commitment to innovation accuracy and usability.
Were proud to house a brilliant team of experts in machine learning actuarial science agronomy economics and full-stack software developmentall working in a fast-paced creatively driven environment. At your contributions dont just support a projectthey help shape a more resilient and sustainable agricultural ecosystem.
Join us on our mission to bring clarity confidence and innovation to agricultural risk management.
Role Overview
As an Ag Data Analyst you will support our Data Science team by acquiring preprocessing and analyzing remote-sensing and geospatial datasets. Youll help turn raw satellite data into actionable maps insights and model inputs that power our predictive analytics parametric insurance products and agricultural production risk assessments.
Key Responsibilities
- Data Acquisition & Management
- Download and organize satellite imagery data from public APIs and commercial providers
- Work with diverse geospatial formats: GeoTIFF netCDF GeoParquet shapefiles rasters
- Data Processing & Analysis
- Develop Python scripts for ETL workflows using pandas NumPy xarray and geopandas
- Perform spatial joins reprojections tiling and subsetting of large rasters
- Generate new indices time-series analysis and other remote-sensing products
- Visualization & Reporting
- Create maps and dashboards to communicate spatial analysis
- Document data pipelines methodologies and quality-control procedures
- Collaboration & Learning
- Work closely with the Data Science Manager and data scientists on GIS components.
- Participate in code reviews knowledge-sharing sessions and team meetings
Required Qualifications
- Bachelors degree in Geography GIS/Remote Sensing Computer Science Environmental Science Economics Finance or related field
- Hands-on experience with:
- Python ecosystem: pandas NumPy geopandas xarray/netCDF4
- Reading/writing GeoTIFF netCDF GeoParquet and vector formats
- Using GIS libraries and tools (GDAL/OGR rasterio Fiona)
- Familiarity with command-line tools and version control (Git)
- Strong problem-solving skills and attention to data quality
Assets (Nice to Have)
- Coursework or experience in Financial or Economic data analysis
- Exposure to cloud platforms (AWS S3 Lambda)
- Basic understanding of agricultural processes and insurance products
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Required Experience:
IC
Employment Type
Part-Time
