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Weather Data Analyst Jobs (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 ...

The Weather Channel

Media Manager

New York, NY · On-site

$134K - $140K/yr

Partnering closely with Data Science team on weather trigger analysis, and then owning all in-campaign and post-campaign analysis. * Heavy performance analysis reporting directly back to marketer ...

The Weather Channel

Media Manager

New York, NY · On-site

$134K - $140K/yr

Responsible for all ongoing analysis, partnering directly with agency & marketer analytics teams ... Powered by real-time modeling based on multi-conditional weather data and client historical sales ...

The Weather Channel

Media Manager

New York, NY · On-site

$134K - $140K/yr

Responsible for all ongoing analysis, partnering directly with agency & marketer analytics teams ... Powered by real-time modeling based on multi-conditional weather data and client historical sales ...

Transdev

Data Analyst/Dispatcher

Raleigh, NC · On-site

$25 - $25.25/hr

Data Analyst & Road Supervisor/Dispatcher Transdev in Raleigh, NC is hiring a Data Analyst - Road ... Work outside in varying temperature, weather, and humidity conditions-100% of the job is performed ...

Transdev

Data Analyst/Dispatcher

Raleigh, NC

$25 - $25.25/hr

Data Analyst & Road Supervisor/Dispatcher Transdev in Raleigh, NC is hiring a Data Analyst - Road ... Work outside in varying temperature, weather, and humidity conditions-100% of the job is performed ...

The Weather Channel

Media Manager

New York, NY · On-site

$134K - $140K/yr

Partnering closely with Data Science team on weather trigger analysis, and then owning all in-campaign and post-campaign analysis. * Heavy performance analysis reporting directly back to marketer ...

Green Thumb

Data Scientist

Chicago, IL · On-site

... weather data, customer demographics, and external signals - to improve model accuracy across store ... Build reusable analytical frameworks on top of GTI's curated data layer (retail sales, inventory ...

Green Thumb Industries

Data Scientist

Chicago, IL · On-site

... weather data, customer demographics, and external signals - to improve model accuracy across store ... Build reusable analytical frameworks on top of GTI's curated data layer (retail sales, inventory ...

Green Thumb

Data Scientist

Chicago, IL · Hybrid

... weather data, customer demographics, and external signals - to improve model accuracy across store ... Build reusable analytical frameworks on top of GTI's curated data layer (retail sales, inventory ...

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All JobsWeather Data Analyst Jobs

Weather Data Analyst information

See salary details

$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:
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 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Finance & Business Operations Analyst

Finance & Business Operations Analyst

The Weather Company

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 10 days ago

Job description

About The Weather Company:
The Weather Company is the world's leading weather provider, helping people and businesses make more informed decisions and take action in the face of weather. Together with advanced technology and AI, The Weather Company's high-volume weather data, insights, advertising, and media solutions across the open web help people, businesses, and brands around the world prepare for and harness the power of weather in a scalable, privacy-forward way. The world's most accurate forecaster globally, the company reaches hundreds of enterprise clients and more than 360 million monthly active users via its digital properties from The Weather Channel (weather.com) and Weather Underground (wunderground.com).
Job brief:
We're looking for a Finance & Business Operations Analyst (minimum 3+ years of experience) to join our talented Finance team. We support a global business that is passionate about the weather AND making innovative, data-driven consumer products.
Does the thought of working for a brand with a reach of more than 360+ Million users worldwide excite you? Do you aspire to be a strategic partner who connects financial numbers to real-world business outcomes?
We're seeking a spreadsheet-fluent, commercially-minded analyst who thrives on turning financial data into strategic execution. In this role, you won't just report the numbers; you will evaluate business performance, analyze product experimentation, and help guide strategic decision-making. We are also looking for someone eager to explore and adopt AI tools to optimize financial modeling and automate operational workflows.
The impact you'll make:
  • Financial & Operational Analysis: Analyze financial statements, sales performance, and product datasets to identify revenue opportunities, cost efficiencies, and commercial risks.
  • Advanced Spreadsheet & Financial Modeling: Build and maintain sophisticated, dynamic financial models and scenario analyses (e.g., forecasting revenue impacts of new features, pricing changes, or market shifts).
  • Drive Business Decisions: Partner with cross-functional teams (Product, Sales, Marketing) to evaluate the ROI of business initiatives and guide resource allocation based on data.
  • Experimentation & Commercial Outcomes: Analyze the financial viability and outcomes of A/B tests and product experiments to ensure user engagement translates to business growth.
  • AI-Driven Efficiency: Actively explore and implement modern AI tools (such as Claude, Gemini, or specialized AI financial plug-ins) to accelerate data analysis, automate reporting, and streamline spreadsheet workflows.
  • Sales Productivity & Strategy: Deep-dive into sales pipelines, seller performance, and account-level dynamics to optimize pricing models and improve commercial execution.
  • Strategic Storytelling: Translate complex financial and operational data into clear, actionable dashboards and presentations for senior leadership to drive immediate action.

What you've accomplished:
  • 3+ years of experience in Corporate Finance, FP&A, Business Operations (BizOps), or Strategic Consulting.
  • Expert-level spreadsheet skills: You are a master of financial modeling, forecasting, and data manipulation (Excel or Google Sheets).
  • Strong commercial acumen: Proven track record of linking financial metrics (ROI, LTV, margins) to operational business decisions and outcomes.
  • Curiosity for AI & Automation: Comfortable exploring and using Generative AI tools to solve problems, write formulas, summarize data, and improve productivity.
  • No coding required, but data-literate: You don't need to write SQL or Python, but you must know how to navigate large datasets and work comfortably with BI tools (like Tableau or Power BI).
  • Bachelor's degree in Finance, Accounting, Business, Economics, or a related field.
  • Excellent communication skills: Ability to challenge assumptions, influence cross-functional partners, and present financial concepts clearly to non-finance stakeholders.

TWCo Benefits/Perks:
  • Flexible Time Off program
  • Hybrid work model
  • Variety of medical insurance options including a $0 cost premium employee coverage
  • Benefits effective day 1 of employment include competitive 401K match with no vesting requirement, national health, dental, and vision plans
  • Progressive family plan benefits
  • An opportunity to work for a global and industry-leading technology company
  • Impactful work in a collaborative environment

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