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Weather Data Analyst Jobs (NOW HIRING)

$27.15/hr

Analyze current weather conditions using standard tools and observations. * Prepare and deliver ... Use Air Force weather systems to access and update weather data. Required Qualifications * US ...

Analyze weather patterns, terrain, climate conditions, and meteorological data to forecast operational weather conditions. * Develop and deliver weather products, forecasts, and environmental ...

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

The Weather Company is the world's leading weather provider, helping people and businesses make ... analytics, machine learning, and data science use cases. You'll work with modern big data ...

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

The Weather Company is the world's leading weather provider, helping people and businesses make ... analytics, machine learning, and data science use cases. You'll work with modern big data ...

General Information

Los Angeles, CA · On-site

$58 - $88/hr

In this role, you will apply advanced data science, modeling, and machine learning techniques to analyze climate and weather data, helping the utility better understand and prepare for climate and ...

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

... analysis * Integrate heterogeneous datasets, including field data, management data, soil data, and weather data, into modeling pipelines Cloud Infrastructure and Data Systems * Develop and maintain ...

Data Engineer

Houston, TX · On-site

$95K - $130K/yr

... analysis * Integrate heterogeneous datasets, including field data, management data, soil data, and weather data, into modeling pipelines Cloud Infrastructure and Data Systems * Develop and maintain ...

Weather Camera Systems Engineer

Anchorage, AK · On-site

$131K - $138K/yr

... data science, and systems integration. At Peraton, you won't just support the mission - you'll ... Perform engineering analyses to ensure systems meet operational, environmental, and reliability ...

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Weather Data Analyst information

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$34K

$82.6K

$136K

How much do weather data analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for weather 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.

How do you become a weather analyst?

To become a weather data analyst, typically a bachelor's degree in meteorology, atmospheric science, or a related field is required. Developing skills in data analysis, programming (such as Python or R), and using weather modeling tools is important; some roles may also require certifications like the Certified Consulting Meteorologist (CCM).

What is the difference between Weather Data Analyst vs Meteorologist?

AspectWeather Data AnalystMeteorologist
Required CredentialsBachelor's in Meteorology, Atmospheric Science, or related field; data analysis skillsBachelor's or higher in Meteorology, Atmospheric Science; often includes forecasting certifications
Work EnvironmentData centers, research facilities, officesFieldwork, TV stations, research institutions, weather agencies
Employer & Industry UsageWeather services, research firms, government agenciesBroadcast media, government weather agencies, research institutions
Common Search & ComparisonAnalyzing weather data, climate trendsWeather forecasting, climate prediction

The main difference is that Weather Data Analysts focus on analyzing weather data and trends using statistical tools, while Meteorologists forecast weather conditions and interpret atmospheric phenomena. Both roles require a background in meteorology, but Meteorologists often engage in public forecasting and fieldwork, whereas Weather Data Analysts primarily work with data analysis and modeling.

What field is the highest paid data analyst?

In the data analysis field, roles specializing in finance, healthcare, and technology tend to be the highest paid. Data analysts with advanced skills in machine learning, big data tools, and industry-specific knowledge often command higher salaries, especially in sectors with complex data needs.

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

To thrive as a Weather Data Analyst, you need a solid background in meteorology, statistics, and data analysis, typically supported by a degree in atmospheric science, mathematics, or a related field. Expertise with data analytics tools (such as Python, R, and GIS software) and familiarity with weather modeling systems or remote sensing data are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret complex data and explain findings to diverse audiences. These skills ensure accurate weather predictions, informed decision-making, and the ability to translate technical insights into actionable information.

What does a Weather Data Analyst do?

A Weather Data Analyst collects, processes, and interprets meteorological data to help understand weather patterns and trends. They use statistical techniques and specialized software to analyze data from sources like satellites, weather stations, and radar systems. Their insights support industries such as agriculture, aviation, and disaster management by providing accurate weather forecasts and risk assessments. Weather Data Analysts also communicate findings through reports, visualizations, and presentations to help inform decision-making.

What does a weather analyst do?

A weather analyst studies weather data to identify patterns and forecast future conditions. They use tools like weather models, statistical analysis, and software to interpret data and support decision-making in sectors such as agriculture, transportation, and emergency management.

How does a Weather Data Analyst typically collaborate with meteorologists and other team members to ensure accurate forecasting?

As a Weather Data Analyst, you will frequently work alongside meteorologists, software engineers, and other analysts to interpret large sets of weather data and develop actionable insights. Collaboration often involves regular meetings to discuss data trends, sharing findings through visualizations or reports, and refining data models based on feedback from the forecasting team. Your analyses directly impact the accuracy of weather predictions, so clear communication and teamwork are essential. Additionally, you may be involved in cross-functional projects that require integrating data from various sources to improve forecasting accuracy.

How to become a climate data analyst?

A climate data analyst typically needs a bachelor's degree in environmental science, meteorology, statistics, or a related field. Developing skills in data analysis tools like Python, R, or SQL, and gaining experience with climate datasets and GIS software can enhance job prospects. Certifications in data analysis or climate science can also be beneficial.
More about Weather Data Analyst jobs
What cities are hiring for Weather Data Analyst jobs? Cities with the most Weather Data Analyst job openings:
What are the most commonly searched types of Weather Data Analyst jobs? The most popular types of Weather Data Analyst jobs are:
What states have the most Weather Data Analyst jobs? States with the most job openings for Weather Data Analyst jobs include:
Infographic showing various Weather Data Analyst job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Senior Analyst, Software Engineering | Software Engineer II

Senior Analyst, Software Engineering | Software Engineer II

Verisk

Lehi, UT • On-site

$95K - $106K/yr

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Verisk rating

7.5

Company rating: 7.5 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

99th of 210 rated it services


Job description


The Software Engineer II is an early- to mid-career professional responsible for contributing to the design, development, testing, and delivery of high-quality software solutions that support Verisk Weather Solutions products and services. This role focuses on building reliable, scalable systems that ingest, process, and deliver radar-based and other meteorological data products, with a strong emphasis on correctness, performance, and data integrity.
The individual will work closely with software engineers, product managers, scientists, and software architects to implement well-defined designs and support applications that rely heavily on radar and weather data formats. While the role may interact with data-driven or model-assisted workflows, the primary emphasis is on software engineering excellence and hands-on experience working with radar and meteorological data, rather than AI or model development.
Responsibilities
- Design, implement, test, and maintain software components using Python and C/C++.
- Implement architectural designs and technical patterns defined by senior engineers and software architects.
- Develop and maintain systems that ingest, transform, validate, and serve radar and weather data products.
- Own well-defined features or services from development through deployment and operational support.
- Write clean, maintainable, and well-tested code that meets performance, reliability, and quality standards.
- Participate in technical design discussions and provide implementation-focused input on proposed solutions.
- Work cross-functionally with product managers and scientists to translate domain-specific requirements into technical solutions.
- Contribute to peer code reviews and shared engineering best practices.
Qualifications
- Bachelor's degree or equivalent practical experience in Computer Engineering, Software Engineering, or a related scientific or engineering discipline such as Atmospheric Science, Meteorology, Hydrology, Physics, Mathematics, or Engineering.
- At least 2 years of professional software engineering experience in an industry environment.
- Professional experience with Python and C/C++.
- Experience working across the full Software Development Lifecycle.
- Familiarity with CI/CD workflows and tools such as GitLab CI, Jenkins, or Bamboo.
- Experience using version control systems (e.g., Git).
- Hands-on professional experience working with radar and weather data.
- Direct experience with one or more weather or radar data formats such as NEXRAD Level II, GRIB2, or NetCDF.
Preferred Qualifications
- Strong experience developing or maintaining systems that process radar data at scale, including real-time or near-real-time pipelines.
- Familiarity with geospatial data concepts and coordinate systems.
- Experience collaborating closely with scientists or domain experts.
- Exposure to data-driven or analytics-enabled systems.
- Experience in high-performance, data-intensive, or scientific computing environments.
Additional Information
- Travel Required: Less than 1%
- Work Environment: Remote
About Us
For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.
At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.
For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we've been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World's Best Employer, testaments to the value we place on workplace culture.
We're 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.
Verisk Businesses
Underwriting Solutions - provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision
Claims Solutions - supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences
Property Estimating Solutions - offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient
Specialty Business Solutions - provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance
Catastrophe and Risk Solutions - provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events.
Marketing Solutions - delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement
Life Insurance Solutions - offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.
Verisk Maplecroft - provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger
Verisk Analytics is an equal opportunity employer.
Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.
All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk's minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.
https://www.verisk.com/company/careers/
Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
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About Verisk

Sourced by ZipRecruiter

Verisk is a top-tier data analytics organization based in Jersey City, NJ, US, known for its deep industry knowledge and analytical prowess. Operating in the global risk assessment industry, it provides predictive analytics and decision support solutions to a wide range of industries like insurance, natural resources, financial services, government, and health care. Founded in 1971, Verisk operates on a mission of helping customers make superior decisions to minimize risk. With an organic growth strategy, Verisk offers a diverse portfolio of solutions, like risk assessment and decision analytics, that help businesses understand and manage their risks.

Industry

Library and information services

Company size

5,001 - 10,000 Employees

Headquarters location

Jersey City, NJ, US

Year founded

1971

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