In this role, the Data Analyst (Remote) will be responsible for ensuring the business makes better decisions through collection and usage of data. Responsibilities: The Data Analyst (Remote) will:
In this role, the Data Analyst (Remote) will be responsible for ensuring the business makes better decisions through collection and usage of data. Responsibilities: The Data Analyst (Remote) will:
Data Analyst (Remote)
Denver, CO ยท Remote
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Data Analyst (Remote)
Denver, CO ยท Remote
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Houston, TX ยท On-site +1
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Sacramento, CA ยท On-site +1
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Sacramento, CA ยท On-site +1
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$91K - $115K/yr
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Weather Data Analyst Remote information
See salary details
$34K - $43.3K
4% of jobs
$43.3K - $52.5K
7% of jobs
$52.5K - $61.8K
13% of jobs
$62.4K is the 25th percentile. Wages below this are outliers.
$61.8K - $71.1K
18% of jobs
The median wage is $75.4K / yr.
$71.1K - $80.4K
16% of jobs
$80.4K - $89.6K
13% of jobs
$93.1K is the 75th percentile. Wages above this are outliers.
$89.6K - $98.9K
9% of jobs
$98.9K - $108.2K
5% of jobs
$108.2K - $117.5K
9% of jobs
$117.5K - $126.7K
3% of jobs
$126.7K - $136K
2% of jobs
$34K
$82.6K
$136K
How much do weather data analyst remote jobs pay per year?
How does a Weather Data Analyst collaborate with other teams in a remote work environment?
What are the key skills and qualifications needed to thrive as a Weather Data Analyst (Remote), and why are they important?
What is the difference between Weather Data Analyst Remote vs Meteorologist?
| Aspect | Weather Data Analyst Remote | Meteorologist |
|---|---|---|
| Required Credentials | Bachelor's in Meteorology, Data Science, or related field; often certifications in data analysis | Bachelor's or higher in Meteorology or Atmospheric Science; often state licensure or certification |
| Work Environment | Remote, data-focused, often in tech or research companies | Fieldwork, weather stations, TV stations, or research facilities |
| Employer & Industry Usage | Tech firms, research institutions, government agencies | Broadcast media, government weather services, research centers |
Weather Data Analysts Remote primarily analyze weather data remotely using statistical tools, while Meteorologists often work in the field or on-site providing forecasts. Both roles require a background in meteorology, but their work environments and job functions differ significantly.
What is a Weather Data Analyst (Remote)?

Part-time
Posted 9 days ago
Job description
A real estate services firm in New York City has a great Remote opportunity awaiting a new Data Analyst. In this role, the Data Analyst (Remote) will be responsible for ensuring the business makes better decisions through collection and usage of data.
Responsibilities:
The Data Analyst (Remote) will:
- Perform ad-hoc, strategic analysis of structured and unstructured data across multiple data sources, reflecting global real estate markets and the operations of real estate assets
- Develop data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate insights and addresses reporting needs
- Define data requirements and gathers and validates information, using judgment and statistical tests
- Identify and troubleshoot data integration and integrity issues in cooperation with the appropriate business units
- Design work flows and procedures
- Identify opportunities to maximize data usage, applying modeling and optimization methods to develop new strategies and improve business performance
- Develop ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools
- Perform other duties, as needed
Qualifications:
- 5+ years of experience in Quantitative Analysis, Data Modeling, Reporting, Relational Database tools, Data Warehousing, Database Architecture, and SQL, SAS, and/or SPSS
- 3+ years of Technical experience in Software Development, Machine Learning or Statistical Analysis, Data Engineering and Data Visualization related work
- Associate's and/or Bachelor's Degree
- Well versed in knowledge of creating algorithms, identifying patterns and insights from structured and unstructured data sets utilizing graphs, trees and/or other data representation techniques
- Knowledge of Financial terms and principles
- Solid analytical and problem solving skills
- Great interpersonal skills
- Excellent communication skills (written and verbal)
- Strong attention to detail
- Highly organized