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Weather Data Analyst Jobs (NOW HIRING)

Waymo

Staff Data Scientist, Weather

San Diego, CA · On-site

Develop scalable and repeatable analysis frameworks that support multiple climate types, both ... Experience working with third-party (e.g., public / private) weather data sources and integrating ...

The Weather Channel

Yield Analyst

New York, NY

The Yield Analyst will be part of the Digital Yield Management team overseeing all inventory ... Powered by real-time modeling based on multi-conditional weather data and client historical sales ...

Waymo

Staff Data Scientist, Weather

Mountain View, CA · On-site

$251K - $310K/yr

Develop scalable and repeatable analysis frameworks that support multiple climate types, both ... Experience working with third-party (e.g., public / private) weather data sources and integrating ...

Waymo

Staff Data Scientist, Weather

San Francisco, CA · On-site

$251K - $310K/yr

Develop scalable and repeatable analysis frameworks that support multiple climate types, both ... Experience working with third-party (e.g., public / private) weather data sources and integrating ...

Waymo

Staff Data Scientist, Weather

Mountain View, CA · On-site

$251K - $310K/yr

Develop scalable and repeatable analysis frameworks that support multiple climate types, both ... Experience working with third-party (e.g., public / private) weather data sources and integrating ...

The Weather Channel

Yield Analyst

New York, NY · On-site

The Yield Analyst will be part of the Digital Yield Management team overseeing all inventory ... Powered by real-time modeling based on multi-conditional weather data and client historical sales ...

Harrison Steel Castings Co.

Data Analyst

Attica, IN · On-site

The Data Analyst - Manufacturing is responsible for analyzing production and operational data to ... The employee is occasionally exposed to wet or humid conditions (non-weather); work in high ...

Harrison Steel Castings Co.

Data Analyst

Attica, IN · On-site

The Data Analyst - Manufacturing is responsible for analyzing production and operational data to ... The employee is occasionally exposed to wet or humid conditions (non-weather); work in high ...

Harrison Steel Castings Co.

Data Analyst

Attica, IN · On-site

The Data Analyst - Manufacturing is responsible for analyzing production and operational data to ... The employee is occasionally exposed to wet or humid conditions (non-weather); work in high ...

Sunrise Systems, Inc.

Software Engineer

Urbandale, IA · On-site

Urbandale, IA, 50322 Duration: 14 Months on W2 contract We are looking for a highly technical engineer to build and support weather data acquisition, processing, and analysis products, including our ...

Lynker Corporation

Geospatial Data Analyst

Charleston, SC · On-site

$78K - $92K/yr

Overview Lynker Corporation is a leading provider of innovative solutions in weather and climate ... Lynker is seeking a sharp Geospatial Data Analyst to join our team. This role is contingent upon ...

The Weather Company

Senior Product Analyst

Atlanta, GA · On-site

Together with advanced technology and AI, The Weather Company's high-volume weather data, insights ... Job brief: We are seeking a Senior Product Analyst to join our Product Insights team embedded ...

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All JobsWeather Data Analyst Jobs

Weather Data Analyst information

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$34K

$82.6K

$136K

How much do weather data analyst jobs pay per year?

As of Aug 4, 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.

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 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.

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.
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:
What job categories do people searching Weather Data Analyst jobs look for? The top searched job categories for Weather Data Analyst jobs are:
Weather Data Analyst jobs near you
Infographic showing various Weather Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Staff Data Scientist, Weather

Waymo

San Diego, CA • On-site

Other

Posted 28 days ago

Job description

Rigorous evaluation of the Waymo Driver, including monitoring the performance of Waymo's fleet in the field, is a critical part of scaling our ride hailing service and achieving Waymo's ambitious goals. In this role, you will lead key initiatives for modeling weather patterns and their impact on Waymo's ride hailing service, and streamlining Waymo's operational procedures designed to mitigate weather-related challenges in real time and measuring the performance of the Waymo Driver in adverse weather conditions.

In this hybrid role you will report to the Data Science Lead for Driving Quality & Scope Expansion.

You will:

  • Define and uphold a high bar for measurement rigor. Ensure we can confidently rely on the evaluation signals informing deployment, scaling, and mitigation decisions. Identify and work to resolve any gaps where current evaluation signals are not scaling with Waymo's business or providing the necessary actionability for stakeholders.
  • Build pipelines and models integrating a range of existing and novel weather-specific data sources (1P/2P/3P) to enhance Waymo's weather intelligence and prediction capabilities.
  • Measure the performance of the Waymo driver in adverse/extreme weather conditions (fog, rain, snow, ice, hail, flooding), providing input on Waymo's readiness to scale in challenging weather contexts. Communicate these findings to senior stakeholders.
  • Develop scalable and repeatable analysis frameworks that support multiple climate types, both domestically and internationally.
  • Optimize Waymo's operational processes for addressing adverse/extreme weather across a wide range of geographical territories, making them smarter, more responsive, and more efficient.
  • Develop a deep understanding of Waymo's long-term roadmap, and collaborate with leads in product, engineering, and systems engineering to unlock key deployment milestones. Be an opinionated partner influencing roadmaps for engineering work to improve our measurement capabilities.
  • Be an active technical contributor on the team, as well as a technical lead to junior data scientists. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods. Champion data science excellence and provide constructive technical feedback within the team and across Waymo.

You have:

  • Degree in a quantitative field (e.g. Statistics, Mathematics, Physics).
  • Either a PhD in a quantitative field and 8+ years of industry experience, or 12+ years of industry experience solving data science problems.
  • Experience working with and building models for spatio-temporal data.
  • Experience as a technical lead.
  • Experience working in highly cross-functional teams and championing data-driven culture.
  • Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models.
  • Demonstrated knowledge of data analysis libraries and packages in Python, R, and/or SQL. 

We prefer:

  • PhD in a quantitative, weather-adjacent field (Atmospheric Science, Meteorology, Hydrology, etc.), and/or academic experience developing and applying statistical methods in those fields.
  • Experience working with third-party (e.g., public / private) weather data sources and integrating multiple data sources.
  • Experience solving problems related to weather modeling or prediction.
  • A demonstrated track record of independently driving data science projects to deliver business value.
  • Experience with large-scale evaluation frameworks for software development.

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