Data Analytics Analyst

Location: Birmingham

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Job Description # Data Analytics Analyst Apply
** Job#: 3056827
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* Job Description:

** Data Scientist, Meteorological Analytics
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* Location:

Fully Remote
** Position Overview We are seeking a Data Scientist with experience working with large-scale meteorological and geospatial datasets. This role will focus on transforming complex weather data into reliable, scalable analytical products and visualizations that support operational and business decision-making.

The ideal candidate combines strong data analytics and programming skills with an understanding of meteorological data, cloud-based processing, and data visualization. This individual should be comfortable working independently while partnering closely with data engineers and subject matter experts.

Key Responsibilities
* Analyze and process large, complex meteorological datasets, including numerical weather prediction output, satellite imagery, and weather station data.
* Develop and optimize scalable data processing workflows with a focus on processing time, memory usage, and overall performance.
* Create clear and effective visualizations that translate complex meteorological information for both technical and non-technical audiences.
* Troubleshoot data quality, ingestion, pipeline, and processing issues.
* Build and maintain reusable, well-documented SQL queries and analytical datasets.
* Work with meteorological variables from traditional numerical weather prediction and AI-based models to identify relationships relevant to operational use cases.
* Optimize processing and visualization of large raster and geospatial datasets using techniques such as spatial indexing, binning, downsampling, and efficient memory management.
* Collaborate with data engineers and internal subject matter experts to move analytical products from development into production.
* Translate business questions into reliable and efficient analytical solutions while maintaining a strong focus on data accuracy and quality.

Required Qualifications
* 3-5 years of professional experience in data analytics or data science using meteorological data sources.
* Experience working with large, complex datasets in cloud-based environments.
* Demonstrated experience moving a product or analytical solution from development into operations.
* Experience troubleshooting data quality, pipeline, and ingestion issues.
* Strong SQL skills, including joins, CTEs, window functions, and query performance optimization.
* Experience processing large datasets efficiently and optimizing for memory and performance.
* Strong understanding of how data structure impacts visualization performance and usability.
* Experience communicating technical findings and data issues clearly to technical and non-technical audiences.
* Strong analytical, problem-solving, and organizational skills with the ability to prioritize work across multiple projects.

Preferred Qualifications
* Background in Atmospheric Science, Meteorology, Earth Science, or a related discipline.
* Experience using Python for data analysis and transformation.
* Experience with meteorological or raster data formats such as GRIB, GeoTIFF, NetCDF, and Zarr.
* Experience working with geospatial data and optimization techniques such as spatial indexing.
* Experience developing static visualizations with Python and/or interactive visualizations using JavaScript.
* Knowledge of statistical concepts including correlation, trend analysis, and least-squares fitting.
* Familiarity with multithreading and/or multiprocessing techniques for large-scale data processing.
* Experience using Git or a similar version-control platform.
* Understanding of data governance, lineage, and metadata management.
* Experience in utilities, energy, infrastructure, or another regulated industry.
* Familiarity with operational, asset, and time-series data, including experience working with imperfect operational source systems.

Professional Attributes
* Detail-oriented with a strong commitment to data accuracy and reliability.
* Able to work independently while collaborating effectively across technical and business teams.
* Skilled at translating complex data into actionable and understandable insights.
* Comfortable working in an environment with multiple priorities and evolving business needs.  
* Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We…