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Weather Data Analyst Jobs in Wisconsin (NOW HIRING)

The Weather Channel

Senior Java Software Engineer

Madison, WI · On-site

$126K - $165K/yr

... weather data and corresponding scientific algorithms * Be a collaborative part of the team, not just a member of a team * Determine operating feasibility by evaluating analysis, problem definition ...

TSMG

Due to poor weather conditions some areas will be visited multiple times in order to collect the ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

Data collector / Driver

Madison, WI · On-site

Due to poor weather conditions some areas will be visited multiple times in order to collect the ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

Data collector / Driver

Green Bay, WI · On-site

Due to poor weather conditions some areas will be visited multiple times in order to collect the ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

Data collector / Driver

Wisconsin Dells, WI · On-site

Due to poor weather conditions some areas will be visited multiple times in order to collect the ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

Data collector / Driver

Eau Claire, WI · On-site

Due to poor weather conditions some areas will be visited multiple times in order to collect the ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

Data collector / Driver

Milwaukee, WI

Due to poor weather conditions some areas will be visited multiple times in order to collect the ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

Data collector / Driver

Superior, WI · On-site

Due to poor weather conditions some areas will be visited multiple times in order to collect the ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Stantec

Project Controls Analyst

Madison, WI · On-site

$65K - $95K/yr

Perform analytics and interpret project/program data for continuous improvement * Complete ... Field work may include exposure to the elements including inclement weather. This description is ...

Amazon

Multi-Site EHS Manager II

Eau Claire, WI · On-site

You'll conduct comprehensive risk assessments, analyze safety data, and implement practical ... and weather (delivery stations include outside loading departments) - Continuously climb and ...

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Weather Data Analyst information

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.
What are popular job titles related to Weather Data Analyst jobs in Wisconsin? For Weather Data Analyst jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Weather Data Analyst jobs in Wisconsin look for? The top searched job categories for Weather Data Analyst jobs in Wisconsin are:
What cities in Wisconsin are hiring for Weather Data Analyst jobs? Cities in Wisconsin with the most Weather Data Analyst job openings:
Weather Data Analyst jobs near you
Infographic showing various Weather Data Analyst job openings in Wisconsin as of July 2026, with employment types broken down into 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 100% In-person job distribution.
Senior Data Scientist

Senior Data Scientist

The Weather Channel

Madison, WI • On-site

Full-time

Posted 27 days ago

Job description

Company Description
The Weather Company provides the best weather insight in the world, and is leading the charge in the growing area of weather decision support for business. We are offering you a unique opportunity to apply and/or develop your mathematical modeling skills on our unique set of weather data. Working with weather data is really unique and amazing; weather is in perpetual evolution, generates petabytes of new data every month, and deeply impacts people and businesses on various timescales. We serve a wide variety of businesses including renewable energies, energy traders, utility companies, insurance, retailers, and consumer product groups. As a consequence you will apply and/or learn a wide variety of statistical techniques including time series analysis, high dimensional clustering, machine learning, data mining and Bayesian modeling.
Job Description
Are you interested in applying machine learning or data mining on problems that truly improve people's life? We're looking for a mathematician/data scientist eager to tackle unique challenges in the realm of predicting weather's impact on business. You will work on a skilled team of passionate data scientists and meteorologists. Examples of projects you may encounter would be anything from predicting the electricity output of a solar park in Arizona, to predicting how much ice cream is going to be sold next week in Chicago.
  • Partner collaboratively with the business and project teams to accomplish tasks/milestones/goals.
  • Research, recommend, and implement statistical post process correction techniques using proprietary forecasts.
  • Demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, etc.
  • Improve operations by conducting systems analysis; recommending changes in policy and procedures.
  • Provide estimates of work effort and impact of projects and tasks, and provide team leadership, as required.
  • Continuously build your knowledge by studying new scientific methodologies and techniques.
  • Play an active role in the product requirements process, giving feedback to product management when challenges arise.

Qualifications
  • MS in Applied Statistics, Mathematics, Econometrics, or other discipline related to Time-Series Analysis, Machine learning and Forecasting, or other related discipline.
  • 3-5 years of relevant professional experience, with demonstrated achievements.
  • Can demonstrate mastery of general scientific computing softwares such as R, MATLAB, Octave, etc.
  • Experience using/implementing non-parametric regression such as Neural Net, SVM, Random Forest, Projection Pursuit, MARS, Radial Basis Functions, AdaBoost, GLM
  • Experience in Predictive Modeling including Non-Parametric Regression, Bayesian Inference, Hidden Markov Models, Generalized ARMA, or Kalman Filtering is a plus.
  • Experience in non-linear optimisation including Simulated Annealing, Genetic Algorithm, Agent Based Modeling, Particle Swarm, Bee Colony is a plus but not necessary.
  • Knowledge of ensemble learning techniques and probabilistic forecasts is a plus.
  • Programming capabilities including C++, Java, Python is a plus but not necessary.

Additional Information

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