Data Analytics Analyst 2

Title:

Data Analytics Analyst Meteorological Data

Client:

Southern Company Services

Location:

Remote

Contract:

3 Years

Experience:

3 5 Years Job Summary

We are seeking a

Data Analytics Analyst

with experience working with large-scale

meteorological and geospatial datasets

to support analytics, visualization, and operational decision-making. This role will focus on processing and analyzing weather data from sources such as numerical weather prediction models, satellite imagery, and weather stations. The ideal candidate will have strong experience with

Python, SQL, cloud-based data environments, data visualization, geospatial data, and large dataset performance optimization

. Key Responsibilities

Analyze large and complex meteorological datasets in cloud-based environments.

Process numerical weather prediction, satellite, weather station, and related data sources.

Optimize data processing to reduce runtime and memory usage.

Develop reusable and well-documented SQL queries using joins, CTEs, and window functions.

Create clear meteorological data visualizations for technical and non-technical audiences.

Develop static visualizations using Python and/or interactive visualizations using JavaScript.

Troubleshoot data quality, ingestion, and pipeline issues.

Support products from development through operational deployment.

Identify meteorological variables that may correlate with utility operations.

Work with large raster and geospatial datasets.

Improve visualization performance through techniques such as downsampling, binning, and efficient data structures.

Collaborate with data engineers and internal subject matter experts.

Translate business questions into efficient analytical datasets.

Maintain strong data accuracy, reliability, and documentation.

Required Qualifications

3 5 years of professional experience in data analytics or data science using meteorological data.

Experience working with large, complex datasets in a cloud environment.

Experience guiding analytical or data products from development into operations.

Strong troubleshooting experience with data quality, pipeline, or ingestion issues.

Strong SQL skills, including: Joins

CTEs

Window functions

Query optimization

Understanding of meteorological variables and numerical weather prediction outputs.

Strong knowledge of data visualization and large-dataset performance considerations.

Strong analytical and problem-solving skills.

Excellent written and verbal communication skills.

Ability to work independently while collaborating with technical teams and SMEs.

Preferred Qualifications

Background in

Atmospheric Science, Meteorology, Earth Science, or a related discipline

.

Strong Python experience for data analysis and transformations.

Experience with raster data formats such as: GRIB

GeoTIFF

NetCDF

Zarr

Experience with geospatial data and spatial indexing.

Knowledge of statistical methods, including correlation and trend analysis.

Familiarity with multithreading or multiprocessing for large-scale data processing.

Experience with Git or similar version-control tools.

Understanding of data governance, lineage, and metadata management.

Utility, energy, infrastructure, or regulated-industry experience.

Experience with operational, asset, or time-series data.

Key Skills

Data Analytics | Meteorological Data | Weather Data | Python | SQL | Geospatial Data | Numerical Weather Prediction | NWP | GRIB | GeoTIFF | NetCDF | Zarr | Raster Data | Data Visualization | Cloud Analytics | Time-Series Data | Data Quality | Data Pipelines | Git | Statistical Analysis