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Remote Meteorological Data Analyst Jobs in Raleigh, NC

Remote The client needs a full-time expert level Senior Business Analyst to perform business ... analyzing data 4. Completing analysis and documentation of as-is capabilities 5. Conducting ...

Senior Financial Analyst, Remote

Durham, NC · On-site +1

$82K - $102K/yr

Strong analytical abilities with the capacity to synthesize large amounts of data and provide ... remote-first culture - you've come to the right place. What Does This Mean for You? At Aledade PBC ...

Senior Financial Analyst, Remote

Durham, NC · Remote

$87K - $109K/yr

Strong analytical abilities with the capacity to synthesize large amounts of data and provide ... remote-first culture - you've come to the right place. What Does This Mean for You? At Aledade PBC ...

Remote work may be considered for the right candidate. What you will do as a staff scientist ... Process and interpret property insurance exposure data for input to HurLoss, ARA's hurricane ...

Showing results 41-60

Remote Meteorological Data Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

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

As of Sep 2, 2026, the average yearly pay for remote meteorological data analyst in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 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 Raleigh, NC?

The most popular types of Meteorological Data Analyst jobs in Raleigh, NC are:

What are popular job titles related to Remote Meteorological Data Analyst jobs in Raleigh, NC?

For Remote Meteorological Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:

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

The top searched job categories for Remote Meteorological Data Analyst jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Remote Meteorological Data Analyst jobs?

Cities near Raleigh, NC with the most Remote Meteorological Data Analyst job openings:

Infographic showing various Remote Meteorological Data Analyst job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, and 6% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,333 per year, or $38.6 per hour.

AVP, AI (Data Science/Engineer) Remote - EST

Arch Capital Group

Raleigh, NC • On-site, Remote

$185K - $235K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.
Strategic Analytics is a dynamic and growing team at Arch that drives innovation and transforms how the business operates. We build AI-first, agent-driven products that change how Arch underwrites, services, and learns from its book, combining frontier LLMs, multi-agent systems, retrieval-augmented generation (RAG), evaluation frameworks, and traditional machine learning. Our mission spans agentic automation, decision intelligence, AI-driven insights, and the responsible deployment of AI at scale. With a proven track record of productionizing dozens of high-quality GenAI products over the past three years, we are continuing to scale our impact and are seeking an AVP, AI Engineering to lead the design and application of advanced AI systems within Strategic Analytics.
Reporting to the SVP of AI & Automation, you will lead the development of multi-agent AI solutions that automate complex business decisions across underwriting and claims. This role is focused on applying AI, machine learning, and data science to solve high-value business problems, establish decision frameworks, and ensure AI systems deliver measurable outcomes with high levels of accuracy and trustworthiness.
Key Responsibilities
• Lead the design of multi-agent AI systems that coordinate specialized models and agents to solve complex business problems.
• Drive the end-to-end delivery of AI-powered underwriting and claims solutions from experimentation through production deployment.
• Develop and evaluate decision frameworks that combine LLMs, retrieval systems, machine learning models, business rules, and human review.
• Establish methodologies for measuring model performance, calibration, confidence, accuracy, and business impact to determine when automation is appropriate.
• Define the conditions under which AI-driven decisions should be trusted, reviewed, or escalated.
• Partner with cross-functional teams to integrate AI capabilities into business workflows and operational processes.
• Mentor data scientists, AI engineers, and analysts on agentic AI, model evaluation, prompt engineering, and responsible AI practices.
• Establish standards for AI evaluation, monitoring, governance, and continuous improvement within the AI & Automation Center of Excellence.
• Translate business opportunities into scalable AI solutions that deliver measurable business value.
Required Skills and Experience
• 7+ years of experience in AI, machine learning, data science, analytics, or related disciplines.
• 3+ years of people leadership experience.
• Demonstrated experience building and deploying production-grade AI, machine learning, or agentic systems beyond proof-of-concept work.
• Strong track record of developing supervised learning models (ML and/or GLMs) that have delivered measurable financial impact.
• Deep understanding of model evaluation, experimentation, statistical analysis, and decision science.
• Strong experience evaluating AI technologies, platforms, and vendors.
• Strong Python experience for data science, machine learning, and AI development.
• Exceptional problem-solving skills with the ability to frame ambiguous business challenges as analytical and AI opportunities.
• Strong communication skills with the ability to influence technical and non-technical stakeholders.
• Hands-on experience with modern AI technologies, including LLMs, RAG, agentic systems, evaluation frameworks, and emerging AI tooling.
Desired Skills and Experience
• Familiarity with P&C insurance, including underwriting, claims, or the submission lifecycle.
• Experience with retrieval-augmented generation (RAG), evaluation frameworks, and structured-output techniques.
• Experience applying AI and machine learning within enterprise environments.
• Experience leading multidisciplinary teams across data science, AI, analytics, and technology functions.
• Demonstrated commitment to staying current with advancements in AI through research, experimentation, publications, conference participation, or contributions to the AI community.
Education
• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Analytics, or equivalent practical experience.
#LI-LH1
#LI-REMOTE
For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.
$185,000 - $235,000/year
  • Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.
  • Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.
10200 Arch Capital Services LLC