Ag Data Analyst
HUB International
Job Responsibility:
Company Overview
At Parametrics.Ag , we're 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, we're 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.
We're 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 Parametrics.Ag, your contributions don't 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. You'll 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
- Bachelor's 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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