[Hiring] Data Analytics Analyst 2 @“Mindlance

Role Description

• 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

Qualifications

• Processing data at scale
• Creating meteorological data visualizations
• SQL
• Strong understanding of how data structure impacts visualization performance and usability
• Familiarity with common bottlenecks when rendering large datasets and their resolution
• Understanding of meteorological variables in traditional numerical weather prediction and AI model output
• 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

Requirements

• Background in Atmospheric Science or another Earth Science
• 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
• Knowledge of basic statistical concepts like correlation and trend analysis
• 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
• Experience in utilities, energy, infrastructure, or regulated industries
• Familiarity with operational, asset, or time-series data
• Experience working with imperfect or operational source systems

Benefits

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

EEO

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.