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Remote Meteorological Data Analyst Jobs (NOW HIRING)

Data Analyst (Remote)

Denver, CO · Remote

$80K - $100K/yr

Salary: $80k100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Our data analytics advisory services enable our customers to transform data into insights by ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

100% Remote Full-time Senior Analyst At NuView Analytics we help companies accelerate the time to insights from their data. We do this in three ways data analytics, data diligence, and fractional ...

Our data analytics advisory services enable our customers to transform data into insights by ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Analyst Work Location: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past ...

Data Analyst Work Location: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past ...

Perform remote data collection, cleaning, transformation, and analysis * Apply statistical methods and machine learning techniques to datasets * Develop visualizations and dashboards using Tableau ...

Data Analyst Location: Remote Top Skills: * Python * Tableu * SQL Strong * AWS Job Requirement: * * Need to have experience with Data sets to do: * Gain customer insights (segmentation and ...

The Data Analyst helps RightNow Media turn data into trusted, consistent, and actionable insight ... Schedule Full-time, Monday through Friday Work Location Fully remote **Please note we will not ...

Data Analyst - Long Term Contract - Remote (US-based) We're seeking a Data Analyst to support the People Development Operations team by automating reporting, streamlining data processes, and creating ...

Data Analyst Location: Remote Duration: 6 Months (Contract) Demonstrated ability to effectively gather requirements, probe for deeper understanding, and translate deep technical concepts to non ...

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Remote Meteorological Data Analyst information

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$34K

$82.6K

$136K

How much do remote meteorological data analyst jobs pay per year?

As of Jun 7, 2026, the average yearly pay for remote meteorological data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Meteorological Data Analyst vs Remote Climate Data Analyst?

AspectRemote Meteorological Data AnalystRemote Climate Data Analyst
Required CredentialsBachelor's in Meteorology, Atmospheric Science, or related field; certifications like AMS Certified Consulting MeteorologistBachelor's in Environmental Science, Climatology, or related; certifications in climate analysis preferred
Work EnvironmentRemote, often collaborating with weather agencies, research institutions, or private weather servicesRemote, working with environmental agencies, research organizations, or policy groups
Industry UsageWeather forecasting, aviation, agriculture, emergency managementEnvironmental policy, climate research, sustainability projects

The main difference is that Remote Meteorological Data Analysts focus on weather patterns and forecasting, while Remote Climate Data Analysts specialize in long-term climate trends and environmental impacts. Both roles require similar educational backgrounds and often operate remotely, but they serve different industry needs and data types.

Will AI replace meteorology?

Remote meteorological data analysts use AI and machine learning tools to improve weather forecasting accuracy and analyze large datasets. While AI automates certain tasks, human expertise remains essential for interpreting complex weather patterns and making critical decisions. AI is a complement to, not a complete replacement for, meteorologists' skills and judgment.

What does a Remote Meteorological Data Analyst do?

A Remote Meteorological Data Analyst is responsible for collecting, processing, and interpreting weather and climate data from various sources, often while working from a remote location. They analyze complex meteorological data to identify trends, create forecasts, and support research or operational decision-making. These analysts use specialized software and tools to work with large datasets, and their insights are valuable for industries such as agriculture, aviation, and disaster management. Remote work allows them to collaborate with teams and access data systems online, making their expertise accessible from anywhere.

What are the key skills and qualifications needed to thrive as a Remote Meteorological Data Analyst, and why are they important?

To thrive as a Remote Meteorological Data Analyst, you need a solid background in meteorology or atmospheric science, strong quantitative analysis skills, and a relevant degree such as a B.S. or M.S. in a related field. Familiarity with data analysis tools like Python, R, GIS software, and weather modeling systems, as well as experience with remote sensing data, are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret complex datasets and share findings with diverse stakeholders. These skills are crucial for providing accurate weather insights, supporting decision-making, and ensuring data-driven results in remote and collaborative environments.

How does a Remote Meteorological Data Analyst typically collaborate with other team members and departments?

As a Remote Meteorological Data Analyst, you’ll regularly collaborate with meteorologists, software developers, and other data analysts to interpret weather data and deliver accurate reports. Communication is primarily conducted through virtual meetings, project management tools, and collaborative platforms, ensuring smooth coordination across different time zones. You may also work closely with research teams to refine data models and provide insights for decision-making. This role requires strong communication skills and adaptability to remote teamwork dynamics.
More about Remote Meteorological Data Analyst jobs
What cities are hiring for Remote Meteorological Data Analyst jobs? Cities with the most Remote Meteorological Data Analyst job openings:
What are the most commonly searched types of Meteorological Data Analyst jobs? The most popular types of Meteorological Data Analyst jobs are:
What states have the most Remote Meteorological Data Analyst jobs? States with the most job openings for Remote Meteorological Data Analyst jobs include:
Infographic showing various Remote Meteorological Data Analyst job openings in the United States as of May 2026, with employment types broken down into 100% Temporary. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst (Remote)

Data Analyst (Remote)

NuView Analytics

Denver, CO • Remote

$80K - $100K/yr

Full-time

Posted 23 days ago


Job description

At NuView Analytics we help companies accelerate the time to insights from their data. We do this in three ways data analytics, data diligence, and fractional data science. Our clients are growth stage companies looking to drive additional value from the data they are sitting on. Through our values of humility, intellectual rigor, and stewardship we help companies gain a new perspective on their business through their data.

Salary: $80k100K + bonus + benefits
Location: 100% remote for US-based candidates

Responsibilities:

  • Candidate will complete data analytics and data science projects for clients
  • Candidate will work on client projects from start to finish scoping, onboarding, delivering
  • Candidate will train and develop new skills in both engagement process and data analytics skill sets when needed

Projects Include:

  • Ad-hoc data analysis
  • Deep data investigation
  • Data visualization
  • Data integration
  • ETL Development

Qualifications:

  • Bachelor's Degree in Analytics, Economics, Mathematics, Computer Science or a related Field
  • 1-3 Years of Relevant job experience
  • SQL Required
  • R or Python experience a plus
  • Tableau, PowerBI, or Looker Proficiency including advanced calculations or advanced DAX
  • Looking for a self-starter that can work well autonomously and together with a team to figure out solutions for clients
  • Ability to process data objectively and efficiently
  • Intellectually curious about new data tools and data analytics/science strategies
  • Familiarity across modern data stack including ETL (Stitch, Rivery, Fivetran, etc), Data warehouse (Big Query, Redshift, Snowflake, etc.) and Data Visualization (Tableau, Looker, Power BI, etc.)