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Remote Meteorological Data Analyst Jobs in Madison, WI

Remote--candidate must live within a 75 mile radius of Madison, WI Responsibilities The primary ... Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines

Remote--candidate must live within a 75 mile radius of Madison, WI Responsibilities The primary ... Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines

90-100% remote but can require staff to come onsite as necessary with sufficient notice. This ... They will be responsible for the data profiling, analysis and documentation of data quality. The ...

Role Snapshot The Provider Network Reimbursement Analyst completes data analyses to support ... We are open to remote work in the following approved states: Colorado, Florida, Georgia, Illinois ...

Data Engineer

Madison, WI · On-site +1

$115K - $138K/yr

... support analytics and business intelligence initiatives. The ideal candidate will have a deep ... This is a remote position with periodic on-site presence required. Candidates must live and work in ...

Description Join Rural Mutual Insurance's Actuarial team and help drive data-informed decisions ... This is a remote position with periodic on-site presence required. Candidates must live and work in ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

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Showing results 1-20

Remote Meteorological Data Analyst information

See Madison, WI salary details

$34.3K

$83.3K

$137K

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

As of Aug 19, 2026, the average yearly pay for remote meteorological data analyst in Madison, WI is $83,270.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $97,700.00 per year, depending on experience, location, and employer.

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?

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.

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.

What are the most commonly searched types of Meteorological Data Analyst jobs in Madison, WI?

The most popular types of Meteorological Data Analyst jobs in Madison, WI are:

What job categories do people searching Remote Meteorological Data Analyst jobs in Madison, WI look for?

The top searched job categories for Remote Meteorological Data Analyst jobs in Madison, WI are:

What cities near Madison, WI are hiring for Remote Meteorological Data Analyst jobs?

Cities near Madison, WI with the most Remote Meteorological Data Analyst job openings:

Infographic showing various Remote Meteorological Data Analyst job openings in Madison, WI as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $83,270 per year, or $40 per hour.

Sales Data Analyst-LTE

AprilAire

Madison, WI • Remote

Part-time

Posted 8 days ago


Job description

Overview
Join us during a busy season as a Sales Data Analyst-LTE! We are seeking a detail-oriented and analytical professional to provide immediate support for a high-volume sales claims processing function. This temporary part-time opportunity is designed to help manage critical operational workloads, improve process documentation, and support the Finance team during a busy season. 
 
Start: ASAP
End: Minimum 3 month, could be extended to January/Feburary depending on workload 
Schedule: 20 hours per week, flexible on work hours within 7am-6pm 
Work Style: Remote--candidate must live within a 75 mile radius of Madison, WI 

Responsibilities

The primary focus of this role will be supporting sales claim back processing and related operational activities, including:

  • Processing and administering customer claim backs for our sales team 
  • Assisting with sales claim back reconciliation and documentation
  • Supporting existing sales claim back workflows currently handled by multiple team members
  • Documenting processes, procedures, and best practices
  • Supporting sales transfer activities as needed
  • Utilizing automation tools and chatbot solutions developed to enhance claim back processing efficiency
  • Identifying opportunities for process improvements and operational efficiencies
  • Maintaining accurate records and ensuring data integrity

Qualifications
  • Bachelor's degree in one of the following areas; Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines
  • Experience with data analysis and reporting
  • Advanced Microsoft Excel skills, including formulas, data manipulation, and analysis
  • Experience in sales operations, finance, accounting, customer claims, or operational support functions
  • Strong attention to detail and organizational skills
  • Ability to manage multiple priorities in a fast-paced environment
  • Process-oriented mindset with strong documentation skills
  • Experience working with automation tools or process improvement initiatives is a plus
Qualifications:
  • Bachelor's degree in one of the following areas; Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines
  • Experience with data analysis and reporting
  • Advanced Microsoft Excel skills, including formulas, data manipulation, and analysis
  • Experience in sales operations, finance, accounting, customer claims, or operational support functions
  • Strong attention to detail and organizational skills
  • Ability to manage multiple priorities in a fast-paced environment
  • Process-oriented mindset with strong documentation skills
  • Experience working with automation tools or process improvement initiatives is a plus
Education:UNAVAILABLEEmployment Type: UNAVAILABLE