Data Analytics Analyst - Remote Opportunity
About the Company
Everforth Apex is an IT services company serving clients worldwide. The company emphasizes innovation, collaboration, and continuous learning, offering employees access to career resources, training, certifications, and professional development opportunities. Its benefits and support programs are designed to support employee well-being and career growth.
About the Role
Everforth Apex is seeking a Data Scientist, Meteorological Analytics for a remote, contract position supporting large-scale weather and geospatial data analysis. The role focuses on transforming complex meteorological datasets into reliable, scalable analytical products and visualizations that support operational and business decisions. You will analyze weather model outputs, satellite imagery, and weather station data while optimizing data processing workflows, troubleshooting data quality issues, and developing reusable analytical datasets. Working closely with data engineers and subject matter experts, you will help move analytical solutions from development into production. The ideal candidate combines strong SQL and data processing skills with experience handling meteorological data and communicating technical findings clearly.
Key Responsibilities
Analyze and process large, complex meteorological datasets, including numerical weather prediction outputs, satellite imagery, and weather station data. Develop and optimize scalable data processing workflows, focusing on processing time, memory usage, and overall performance. Create clear and effective visualizations that communicate complex meteorological information to technical and non-technical audiences. Troubleshoot data quality, ingestion, pipeline, and processing issues. Build and maintain reusable, well-documented SQL queries and analytical datasets. Analyze meteorological variables from traditional numerical weather prediction systems and AI-based models to identify relationships relevant to operational use cases. Optimize the processing and visualization of large raster and geospatial datasets using spatial indexing, binning, downsampling, and efficient memory management. Collaborate with data engineers and internal subject matter experts to transition analytical products from development into production. Translate business questions into reliable and efficient analytical solutions while maintaining data accuracy and quality. Identify opportunities to improve analytical workflows, visualization performance, and data reliability. Communicate technical findings, data issues, and analytical insights clearly to relevant stakeholders. 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 operational use. Experience troubleshooting data quality, data pipeline, and ingestion issues. Strong SQL skills, including joins, common table expressions (CTEs), window functions, and query performance optimization. Experience processing large datasets efficiently and optimizing memory usage and performance. Strong understanding of how data structures affect visualization performance and usability. Ability to communicate technical findings and data issues effectively to technical and non-technical audiences. Strong analytical, problem-solving, and organizational skills. Ability to prioritize tasks and manage multiple projects effectively.
Preferred Qualifications
Background in Atmospheric Science, Meteorology, Earth Science, or a related discipline. Experience using Python for data analysis and transformation. Experience with meteorological and 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 using 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 for large-scale data processing. Experience using Git or similar version-control platforms. Understanding of data governance, data lineage, and metadata management. Experience in utilities, energy, infrastructure, or another regulated industry. Familiarity with operational, asset, and time-series data, including imperfect operational source systems. Professional Attributes Strong attention to detail and commitment to data accuracy and reliability. Ability to work independently while collaborating effectively with technical and business teams. Ability to translate complex datasets and analytical findings into clear, actionable insights. Comfort managing multiple priorities in an environment with evolving business needs. Salary and Benefits Hourly pay range of $40–$55. Medical, dental, and vision insurance options. Life and disability insurance options. 401(k) retirement plan with company matching after 12 months of employment. Employee stock purchase program (ESPP). Health Savings Account (HSA) option with the eligible high-deductible health plan. Employee Assistance Program (EAP), including up to eight free counseling sessions. Corporate discount and savings programs. Access to on-demand training, technical and leadership courses, certification preparation resources, and professional development opportunities. Certification discounts and other benefits through participating professional associations. Access to a dedicated consultant support team and a certified career coach. Location and Work Arrangement Remote position. Employment type: Contract. Listed location: Birmingham, Alabama, United States. Date posted: October 22, 2026. Equal Employment Opportunity Everforth Apex Systems is an equal opportunity employer. The company does not discriminate on the basis of race, color, religion, creed, sex, including pregnancy, childbirth, breastfeeding, or related medical conditions, age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Qualified applicants with criminal histories will be considered in accordance with applicable legal requirements. Accessibility and Accommodation Applicants who require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or use the company website for job searches or applications may contact the Benefits Department at [email protected] or 804-523-8228. This contact information is intended specifically for medical ADA accommodation requests.