Data Analyst - Meteorology

Immediate W2 contract position available in Birmingham, AL / Remote.
Estimated Duration:3 years

Experience:

• 3-5 years of professional experience in data analytics or data science leveraging meteorological data sources (e.g., numerical weather prediction output, satellite imagery, weather station data)
• Proven experience working with large, complex meteorological datasets in a cloud-based environment
• Demonstrated experience guiding a product from development to operations
• Demonstrated experience troubleshooting data quality, pipeline, or ingestion issues

Technical Skills & Languages:

• Processing data at scale
• Ability to optimize processing of meteorological data to consume minimal time and memory
• Familiarity with cloud-optimized formats for raster data like Zarr
• Creating meteorological data visualizations
• Ability to package meteorological output in a way that is understandable to a general audience
• Familiarity with static visualizations using Python and/or interactive visualizations using JavaScript
• SQL
• Familiarity with joins, CTEs, window functions, performance optimization
• Writing and maintaining reusable, well-documented queries

Analytics & Visualization:

• Strong understanding of how data structure impacts visualization performance and usability
• Familiarity with common bottlenecks when rendering large datasets and their resolution (e.g., data binning, downsampling, efficient plotting methods and memory use)
• Understanding of meteorological variables in traditional numerical weather prediction and AI model output and the ability to identify those that may be correlated with utility operations

Soft Skills & Work Style:

• Strong analytical and problem-solving skills
• Ability to work independently while collaborating with data engineers and internal SMEs
• Clear written and verbal communication, especially when explaining data issues or findings
• Experience prioritizing work across multiple projects

Preferred Qualifications:
Background in Atmospheric Science or another Earth Science

Technical Preferences:

• Experience with Python for data analysis and transformations
• Experience working with raster datasets in formats like GRIB, GeoTIFF, and NetCDF
• Experience with geospatial data and performance optimizations when working with geospatial data such as leveraging spatial indices
• Knowledge of basic statistical concepts like correlation and trend analysis using methods like least-squares fitting
• Familiarity with the concepts of using multiple threads and/or multiple CPUs to process large datasets quickly
• Experience with version control (Git or similar)
• Basic understanding of data governance, lineage, or metadata management

Domain & Business Experience:

• Experience in utilities, energy, infrastructure, or regulated industries
• Familiarity with operational, asset, or time-series data
• Experience working with imperfect or operational source systems

Professional Attributes:

• Ability to translate business questions into efficient analytical datasets
• Demonstrated attention to detail with a strong focus on data accuracy and reliability

We provide supplemental employees to the region's most sought after power projects. We credit our success to the commitment we show to our job applicants. E Group Recruiters are here to make sure your job search experience is the best it can be. Our recruiters are experts in knowing what the client manager is looking for in a resume, what bill rate the market will bear, and how to make your application stand out among the rest. Our personal touch continues even after we've found the perfect job for you. All full-time employees are eligible to pay for full health and retirement benefits including BC/BS health and dental insurance, life and disability insurances, and 401K with an immediately vested match is available. We have a dedicated team to guide you through these benefits.